MacBook Pro (14-inch, 2023)
Geekbench AI Score
4157
Single Precision Score
6661
Half Precision Score
5670
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | astrokari |
| Upload Date | August 16 2024 09:27 PM |
| Views | 6 |
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% |
1384
257.3 IPS |
|
|
Image Classification (HP)
|
100% |
2246
417.7 IPS |
|
|
Image Classification (Q)
|
99% |
2235
416.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1676
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2578
41.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
2571
41.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13095
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
24942
29.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
18380
21.5 IPS |
|
|
Object Detection (SP)
|
100% |
1692
134.2 IPS |
|
|
Object Detection (HP)
|
97% |
2698
214.8 IPS |
|
|
Object Detection (Q)
|
94% |
2007
160.0 IPS |
|
|
Face Detection (SP)
|
100% |
3615
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
5935
70.5 IPS |
|
|
Face Detection (Q)
|
100% |
3460
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6245
48.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12044
93.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
11940
92.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24726
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37980
48.8 IPS |
|
|
Style Transfer (Q)
|
100% |
37736
48.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5095
188.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6844
252.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4362
161.6 IPS |
|
|
Text Classification (SP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3867
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3853
5.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
4606
79.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6147
106.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6186
106.9 IPS |
