MacBook Pro (15-inch Mid 2019)
Geekbench AI Score
1242
Single Precision Score
1131
Half Precision Score
659
Quantized Score
Geekbench AI 1.0.0 for macOS AVX2
Result Information
| User | orion1 |
| Upload Date | August 16 2024 07:45 AM |
| Views | 23 |
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% |
535
99.6 IPS |
|
|
Image Classification (HP)
|
100% |
719
133.8 IPS |
|
|
Image Classification (Q)
|
99% |
739
137.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
310
5.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
284
4.61 IPS |
|
|
Image Segmentation (Q)
|
100% |
288
4.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
5127
5.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
4473
5.22 IPS |
|
|
Pose Estimation (Q)
|
96% |
1534
1.80 IPS |
|
|
Object Detection (SP)
|
100% |
1020
80.9 IPS |
|
|
Object Detection (HP)
|
100% |
767
60.9 IPS |
|
|
Object Detection (Q)
|
92% |
135
10.8 IPS |
|
|
Face Detection (SP)
|
100% |
3668
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
3734
44.4 IPS |
|
|
Face Detection (Q)
|
100% |
195
2.32 IPS |
|
|
Depth Estimation (SP)
|
100% |
4373
33.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3346
25.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
3303
25.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10313
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9315
12.0 IPS |
|
|
Style Transfer (Q)
|
100% |
9203
11.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2253
83.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1625
60.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1458
54.0 IPS |
|
|
Text Classification (SP)
|
100% |
117
156.1 IPS |
|
|
Text Classification (HP)
|
100% |
115
153.2 IPS |
|
|
Text Classification (Q)
|
93% |
182
243.7 IPS |
|
|
Machine Translation (SP)
|
100% |
231
3.98 IPS |
|
|
Machine Translation (HP)
|
100% |
225
3.87 IPS |
|
|
Machine Translation (Q)
|
98% |
224
3.87 IPS |
