MacBook Pro (16-inch, 2023)
Geekbench AI Score
4160
Single Precision Score
6755
Half Precision Score
5257
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | brocksuire |
| Upload Date | November 01 2024 09:38 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 | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1393
259.1 IPS |
|
|
Image Classification (HP)
|
100% |
2265
421.2 IPS |
|
|
Image Classification (Q)
|
96% |
1659
309.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1715
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2612
42.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2962
48.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
12951
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
25615
29.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
18860
22.1 IPS |
|
|
Object Detection (SP)
|
100% |
1692
134.2 IPS |
|
|
Object Detection (HP)
|
97% |
2713
216.0 IPS |
|
|
Object Detection (Q)
|
94% |
2021
161.1 IPS |
|
|
Face Detection (SP)
|
100% |
3559
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
5896
70.1 IPS |
|
|
Face Detection (Q)
|
100% |
3346
39.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6257
48.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12223
94.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8206
64.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24782
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38745
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
29097
37.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5101
188.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6926
255.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4426
163.4 IPS |
|
|
Text Classification (SP)
|
100% |
2309
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3968
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3942
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
4571
78.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6279
108.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6186
106.9 IPS |
