MacBook Pro (14-inch, 2023)
Geekbench AI Score
4152
Single Precision Score
6702
Half Precision Score
5707
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | tntoak |
| Upload Date | August 18 2024 07:25 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| Model | MacBook Pro (14-inch, 2023) |
| Model ID | Mac14,5 |
| Motherboard | Mac14,5 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1380
256.6 IPS |
|
|
Image Classification (HP)
|
100% |
2267
421.5 IPS |
|
|
Image Classification (Q)
|
99% |
2237
417.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1702
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2558
41.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
2566
41.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13068
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
24884
29.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
19208
22.5 IPS |
|
|
Object Detection (SP)
|
100% |
1683
133.5 IPS |
|
|
Object Detection (HP)
|
97% |
2715
216.2 IPS |
|
|
Object Detection (Q)
|
94% |
2003
159.6 IPS |
|
|
Face Detection (SP)
|
100% |
3583
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
5895
70.0 IPS |
|
|
Face Detection (Q)
|
100% |
3459
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6280
48.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12150
93.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
11983
92.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24706
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38477
49.5 IPS |
|
|
Style Transfer (Q)
|
100% |
38917
50.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5083
187.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6852
253.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4345
161.0 IPS |
|
|
Text Classification (SP)
|
100% |
2285
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3853
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3822
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
4569
78.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6414
110.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6197
107.1 IPS |
