MacBook Pro (16-inch, 2023)
Geekbench AI Score
4163
Single Precision Score
6669
Half Precision Score
5258
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | brocksuire |
| Upload Date | November 10 2024 06:49 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5073e) |
| 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% |
1395
259.4 IPS |
|
|
Image Classification (HP)
|
100% |
2240
416.5 IPS |
|
|
Image Classification (Q)
|
96% |
1643
306.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1695
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2562
41.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2945
47.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12896
15.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
25617
29.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
19351
22.7 IPS |
|
|
Object Detection (SP)
|
100% |
1688
133.9 IPS |
|
|
Object Detection (HP)
|
97% |
2702
215.1 IPS |
|
|
Object Detection (Q)
|
94% |
2008
160.1 IPS |
|
|
Face Detection (SP)
|
100% |
3572
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
5853
69.5 IPS |
|
|
Face Detection (Q)
|
100% |
3437
40.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6509
50.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12151
93.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8215
64.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24770
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37916
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
29195
37.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5086
187.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6942
256.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4427
163.5 IPS |
|
|
Text Classification (SP)
|
100% |
2289
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3830
5.11 KIPS |
|
|
Text Classification (Q)
|
93% |
3810
5.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
4534
78.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6117
105.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6187
106.9 IPS |
