Mac Studio (2023)
Geekbench AI Score
3179
Single Precision Score
4829
Half Precision Score
3962
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | ckourey308 |
| Upload Date | August 19 2024 05:06 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1490
277.1 IPS |
|
|
Image Classification (HP)
|
100% |
1825
339.3 IPS |
|
|
Image Classification (Q)
|
99% |
1837
342.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1331
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1301
21.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
1297
21.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6273
7.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
14922
17.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
12649
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1597
126.6 IPS |
|
|
Object Detection (HP)
|
97% |
2277
181.3 IPS |
|
|
Object Detection (Q)
|
94% |
1734
138.2 IPS |
|
|
Face Detection (SP)
|
100% |
2974
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
4331
51.5 IPS |
|
|
Face Detection (Q)
|
100% |
2809
33.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5540
42.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8620
66.6 IPS |
|
|
Depth Estimation (Q)
|
96% |
4032
31.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16846
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26979
34.7 IPS |
|
|
Style Transfer (Q)
|
100% |
26734
34.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3809
140.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4967
183.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3551
131.6 IPS |
|
|
Text Classification (SP)
|
100% |
2297
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3718
4.96 KIPS |
|
|
Text Classification (Q)
|
93% |
3714
4.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
2189
37.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4599
79.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4570
79.0 IPS |
