Mac Studio (2023)
Geekbench AI Score
4135
Single Precision Score
6632
Half Precision Score
5307
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | topgun966 |
| Upload Date | March 09 2025 04:00 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5222f) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1404
261.1 IPS |
|
|
Image Classification (HP)
|
100% |
2249
418.2 IPS |
|
|
Image Classification (Q)
|
96% |
1658
309.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1683
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2526
40.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2831
45.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12797
14.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
25107
29.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
19342
22.7 IPS |
|
|
Object Detection (SP)
|
100% |
1639
130.0 IPS |
|
|
Object Detection (HP)
|
97% |
2625
209.0 IPS |
|
|
Object Detection (Q)
|
94% |
1953
155.7 IPS |
|
|
Face Detection (SP)
|
100% |
3547
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
5782
68.7 IPS |
|
|
Face Detection (Q)
|
100% |
3378
40.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6334
48.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11325
87.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7715
60.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25050
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38274
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30392
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5026
185.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6585
243.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4504
166.3 IPS |
|
|
Text Classification (SP)
|
100% |
2333
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
3998
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
4007
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
4479
77.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6666
115.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7002
121.0 IPS |
