MacBook Pro (16-inch, 2023)
Geekbench AI Score
4093
Single Precision Score
6748
Half Precision Score
5298
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | brocksuire |
| Upload Date | November 01 2024 09:42 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1387
257.9 IPS |
|
|
Image Classification (HP)
|
100% |
2260
420.4 IPS |
|
|
Image Classification (Q)
|
96% |
1643
306.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1686
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2592
42.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2946
47.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12815
15.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
24971
29.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
18880
22.1 IPS |
|
|
Object Detection (SP)
|
100% |
1690
134.1 IPS |
|
|
Object Detection (HP)
|
97% |
2708
215.6 IPS |
|
|
Object Detection (Q)
|
94% |
2021
161.1 IPS |
|
|
Face Detection (SP)
|
100% |
3567
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
6050
71.9 IPS |
|
|
Face Detection (Q)
|
100% |
3499
41.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6295
48.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12270
94.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8254
64.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24755
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38343
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
29113
37.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5111
188.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6904
254.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4429
163.5 IPS |
|
|
Text Classification (SP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3994
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3976
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3999
68.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6302
108.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6375
110.2 IPS |
