MacBook Pro (15-inch Mid 2019)
Geekbench AI Score
1380
Single Precision Score
1419
Half Precision Score
817
Quantized Score
Geekbench AI 1.0.0 for macOS AVX2
Result Information
| User | sfoskett |
| Upload Date | August 19 2024 02:01 PM |
| Views | 29 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 555X |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (15-inch Mid 2019) |
| Model ID | MacBookPro15,1 |
| Motherboard | Apple Inc. Mac-937A206F2EE63C01 MacBookPro15,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Transfer Rate | 2400 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1061
197.3 IPS |
|
|
Image Classification (HP)
|
100% |
1109
206.2 IPS |
|
|
Image Classification (Q)
|
99% |
1103
205.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
307
4.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
313
5.08 IPS |
|
|
Image Segmentation (Q)
|
100% |
312
5.05 IPS |
|
|
Pose Estimation (SP)
|
100% |
5082
5.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
5344
6.24 IPS |
|
|
Pose Estimation (Q)
|
96% |
1640
1.92 IPS |
|
|
Object Detection (SP)
|
100% |
1032
81.9 IPS |
|
|
Object Detection (HP)
|
100% |
1063
84.3 IPS |
|
|
Object Detection (Q)
|
92% |
140
11.1 IPS |
|
|
Face Detection (SP)
|
100% |
3637
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
3862
45.9 IPS |
|
|
Face Detection (Q)
|
100% |
175
2.08 IPS |
|
|
Depth Estimation (SP)
|
100% |
4384
33.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4507
34.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
4507
34.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10340
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10365
13.3 IPS |
|
|
Style Transfer (Q)
|
100% |
10255
13.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2288
84.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2406
88.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2443
90.5 IPS |
|
|
Text Classification (SP)
|
100% |
133
176.9 IPS |
|
|
Text Classification (HP)
|
100% |
143
190.3 IPS |
|
|
Text Classification (Q)
|
93% |
315
422.2 IPS |
|
|
Machine Translation (SP)
|
100% |
293
5.05 IPS |
|
|
Machine Translation (HP)
|
100% |
272
4.68 IPS |
|
|
Machine Translation (Q)
|
98% |
272
4.70 IPS |
