MacBook Pro (16-inch, 2023)
Geekbench AI Score
4194
Single Precision Score
6758
Half Precision Score
5323
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | ajoe04 |
| Upload Date | December 26 2024 02:37 PM |
| Views | 11 |
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 | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1403
260.9 IPS |
|
|
Image Classification (HP)
|
100% |
2258
419.9 IPS |
|
|
Image Classification (Q)
|
96% |
1657
309.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1704
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2586
41.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2953
47.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12996
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
25412
29.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
19441
22.8 IPS |
|
|
Object Detection (SP)
|
100% |
1697
134.6 IPS |
|
|
Object Detection (HP)
|
97% |
2712
215.9 IPS |
|
|
Object Detection (Q)
|
94% |
2026
161.5 IPS |
|
|
Face Detection (SP)
|
100% |
3703
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
5958
70.8 IPS |
|
|
Face Detection (Q)
|
100% |
3440
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6398
49.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12250
94.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8327
65.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24893
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38942
50.1 IPS |
|
|
Style Transfer (Q)
|
96% |
29520
38.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5116
188.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7014
259.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4471
165.1 IPS |
|
|
Text Classification (SP)
|
100% |
2324
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3986
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
4012
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
4564
78.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6217
107.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6251
108.0 IPS |
