MacBook Pro (15-inch Mid 2019)
Geekbench AI Score
734
Single Precision Score
625
Half Precision Score
502
Quantized Score
Geekbench AI 1.0.0 for macOS AVX2
Result Information
| User | orion1 |
| Upload Date | August 16 2024 07:53 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-9750H |
| 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% |
398
74.0 IPS |
|
|
Image Classification (HP)
|
100% |
290
53.9 IPS |
|
|
Image Classification (Q)
|
99% |
289
53.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
336
5.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
262
4.25 IPS |
|
|
Image Segmentation (Q)
|
100% |
260
4.21 IPS |
|
|
Pose Estimation (SP)
|
100% |
2580
3.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
1627
1.90 IPS |
|
|
Pose Estimation (Q)
|
95% |
1251
1.47 IPS |
|
|
Object Detection (SP)
|
100% |
288
22.9 IPS |
|
|
Object Detection (HP)
|
100% |
251
19.9 IPS |
|
|
Object Detection (Q)
|
92% |
177
14.1 IPS |
|
|
Face Detection (SP)
|
100% |
762
9.05 IPS |
|
|
Face Detection (HP)
|
100% |
629
7.47 IPS |
|
|
Face Detection (Q)
|
100% |
287
3.41 IPS |
|
|
Depth Estimation (SP)
|
100% |
1122
8.64 IPS |
|
|
Depth Estimation (HP)
|
99% |
905
6.97 IPS |
|
|
Depth Estimation (Q)
|
97% |
933
7.22 IPS |
|
|
Style Transfer (SP)
|
100% |
3757
4.83 IPS |
|
|
Style Transfer (HP)
|
100% |
2474
3.18 IPS |
|
|
Style Transfer (Q)
|
100% |
2398
3.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1159
42.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
996
36.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
446
16.5 IPS |
|
|
Text Classification (SP)
|
100% |
390
520.4 IPS |
|
|
Text Classification (HP)
|
100% |
408
544.8 IPS |
|
|
Text Classification (Q)
|
93% |
426
572.4 IPS |
|
|
Machine Translation (SP)
|
100% |
317
5.46 IPS |
|
|
Machine Translation (HP)
|
100% |
514
8.86 IPS |
|
|
Machine Translation (Q)
|
98% |
509
8.80 IPS |
