MacBook Pro (15-inch Mid 2019)
Geekbench AI Score
941
Single Precision Score
674
Half Precision Score
458
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | Shougeki |
| Upload Date | January 24 2025 01:08 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9880H |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| Model | MacBook Pro (15-inch Mid 2019) |
| Model ID | MacBookPro15,1 |
| Motherboard | Apple Inc. Mac-937A206F2EE63C01 MacBookPro15,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9880H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Transfer Rate | 2400 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
452
84.1 IPS |
|
|
Image Classification (HP)
|
100% |
348
64.7 IPS |
|
|
Image Classification (Q)
|
96% |
190
35.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
500
8.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
433
7.03 IPS |
|
|
Image Segmentation (Q)
|
99% |
303
4.91 IPS |
|
|
Pose Estimation (SP)
|
100% |
2811
3.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
763
0.89 IPS |
|
|
Pose Estimation (Q)
|
96% |
644
0.75 IPS |
|
|
Object Detection (SP)
|
100% |
468
37.1 IPS |
|
|
Object Detection (HP)
|
100% |
364
28.9 IPS |
|
|
Object Detection (Q)
|
92% |
213
17.0 IPS |
|
|
Face Detection (SP)
|
100% |
1046
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
818
9.72 IPS |
|
|
Face Detection (Q)
|
100% |
338
4.01 IPS |
|
|
Depth Estimation (SP)
|
100% |
1567
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1194
9.20 IPS |
|
|
Depth Estimation (Q)
|
85% |
730
5.71 IPS |
|
|
Style Transfer (SP)
|
100% |
4613
5.93 IPS |
|
|
Style Transfer (HP)
|
100% |
2972
3.82 IPS |
|
|
Style Transfer (Q)
|
96% |
2329
3.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1688
62.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
679
25.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
389
14.4 IPS |
|
|
Text Classification (SP)
|
100% |
435
580.6 IPS |
|
|
Text Classification (HP)
|
100% |
436
581.4 IPS |
|
|
Text Classification (Q)
|
93% |
430
577.5 IPS |
|
|
Machine Translation (SP)
|
100% |
332
5.72 IPS |
|
|
Machine Translation (HP)
|
100% |
538
9.27 IPS |
|
|
Machine Translation (Q)
|
98% |
538
9.31 IPS |
