MacBook Pro (16-inch, 2023)
Geekbench AI Score
4169
Single Precision Score
6697
Half Precision Score
5739
Quantized Score
Geekbench AI 1.0.0 Pro for macOS AArch64
Result Information
| User | Swissnightlover |
| Upload Date | August 19 2024 10:59 AM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1385
257.6 IPS |
|
|
Image Classification (HP)
|
100% |
2260
420.2 IPS |
|
|
Image Classification (Q)
|
99% |
2259
421.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1686
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2571
41.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
2612
42.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12920
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
24735
28.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
18850
22.1 IPS |
|
|
Object Detection (SP)
|
100% |
1699
134.8 IPS |
|
|
Object Detection (HP)
|
97% |
2700
214.9 IPS |
|
|
Object Detection (Q)
|
94% |
2010
160.2 IPS |
|
|
Face Detection (SP)
|
100% |
3605
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
5845
69.4 IPS |
|
|
Face Detection (Q)
|
100% |
3457
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6387
49.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12198
94.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
12125
93.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25079
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38402
49.4 IPS |
|
|
Style Transfer (Q)
|
100% |
38671
49.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5142
189.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7058
260.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4398
162.9 IPS |
|
|
Text Classification (SP)
|
100% |
2291
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3846
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3872
5.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
4554
78.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6301
108.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6282
108.6 IPS |
