MacBook Pro (16-inch, 2023)
Geekbench AI Score
4214
Single Precision Score
6844
Half Precision Score
5336
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | brocksuire |
| Upload Date | December 17 2024 01:16 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
1404
261.1 IPS |
|
|
Image Classification (HP)
|
100% |
2285
425.0 IPS |
|
|
Image Classification (Q)
|
96% |
1670
311.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1767
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2651
43.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2967
48.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12941
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
25765
30.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
19788
23.2 IPS |
|
|
Object Detection (SP)
|
100% |
1688
133.9 IPS |
|
|
Object Detection (HP)
|
97% |
2736
217.9 IPS |
|
|
Object Detection (Q)
|
94% |
2000
159.4 IPS |
|
|
Face Detection (SP)
|
100% |
3695
43.9 IPS |
|
|
Face Detection (HP)
|
100% |
5950
70.7 IPS |
|
|
Face Detection (Q)
|
100% |
3445
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6522
50.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12373
95.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8228
64.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24895
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38932
50.0 IPS |
|
|
Style Transfer (Q)
|
96% |
29217
37.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5118
189.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7149
264.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4505
166.4 IPS |
|
|
Text Classification (SP)
|
100% |
2307
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4056
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4033
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
4609
79.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6362
109.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6344
109.6 IPS |
