MacBook Pro (16-inch, 2023)
Geekbench AI Score
4181
Single Precision Score
27447
Half Precision Score
31012
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | brocksuire |
| Upload Date | October 30 2024 08:02 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| Model | MacBook Pro (16-inch, 2023) |
| Model ID | Mac14,10 |
| Motherboard | Mac14,10 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1389
258.3 IPS |
|
|
Image Classification (HP)
|
100% |
13904
2.59 KIPS |
|
|
Image Classification (Q)
|
96% |
17783
3.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1751
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19366
313.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24673
400.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
12989
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
106467
124.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
104209
122.1 IPS |
|
|
Object Detection (SP)
|
100% |
1696
134.5 IPS |
|
|
Object Detection (HP)
|
99% |
15750
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
16697
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
3569
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
35465
421.4 IPS |
|
|
Face Detection (Q)
|
100% |
45086
535.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6424
49.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
87891
677.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
109666
857.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24769
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
204843
263.3 IPS |
|
|
Style Transfer (Q)
|
96% |
191341
246.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5131
189.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41184
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50337
1.86 KIPS |
|
|
Text Classification (SP)
|
100% |
2346
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
4070
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4036
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4461
76.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5021
86.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5608
96.9 IPS |
