Mac Studio (2023)
Geekbench AI Score
3147
Single Precision Score
4768
Half Precision Score
3931
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | crisss1205 |
| Upload Date | August 15 2024 10:42 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| Model | Mac Studio (2023) |
| Model ID | Mac14,13 |
| Motherboard | Mac14,13 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1485
276.1 IPS |
|
|
Image Classification (HP)
|
100% |
1824
339.3 IPS |
|
|
Image Classification (Q)
|
99% |
1821
339.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1301
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1325
21.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
1309
21.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6293
7.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
14728
17.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
12516
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1503
119.2 IPS |
|
|
Object Detection (HP)
|
97% |
2149
171.1 IPS |
|
|
Object Detection (Q)
|
94% |
1594
127.1 IPS |
|
|
Face Detection (SP)
|
100% |
2861
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
4347
51.7 IPS |
|
|
Face Detection (Q)
|
100% |
2843
33.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5457
42.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8503
65.7 IPS |
|
|
Depth Estimation (Q)
|
96% |
4247
32.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16686
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26460
34.0 IPS |
|
|
Style Transfer (Q)
|
100% |
26503
34.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3817
141.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4781
176.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3482
129.0 IPS |
|
|
Text Classification (SP)
|
100% |
2276
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3749
5.00 KIPS |
|
|
Text Classification (Q)
|
93% |
3661
4.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
2308
39.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4531
78.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4549
78.6 IPS |
