Mac Studio (2023)
Geekbench AI Score
4207
Single Precision Score
7118
Half Precision Score
5642
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | mubtafa |
| Upload Date | March 18 2026 08:36 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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 | 3.47 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1418
263.6 IPS |
|
|
Image Classification (HP)
|
100% |
2320
431.4 IPS |
|
|
Image Classification (Q)
|
96% |
1675
312.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1714
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2642
42.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2992
48.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
12293
14.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
26868
31.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
20792
24.4 IPS |
|
|
Object Detection (SP)
|
100% |
1699
134.8 IPS |
|
|
Object Detection (HP)
|
97% |
2874
228.8 IPS |
|
|
Object Detection (Q)
|
94% |
2048
163.3 IPS |
|
|
Face Detection (SP)
|
100% |
3673
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
6288
74.7 IPS |
|
|
Face Detection (Q)
|
100% |
3496
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6176
47.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11824
91.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8176
63.9 IPS |
|
|
Style Transfer (SP)
|
100% |
26499
34.1 IPS |
|
|
Style Transfer (HP)
|
100% |
41846
53.8 IPS |
|
|
Style Transfer (Q)
|
96% |
32797
42.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5192
191.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6803
251.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4796
177.1 IPS |
|
|
Text Classification (SP)
|
100% |
2490
3.32 KIPS |
|
|
Text Classification (HP)
|
99% |
4213
5.62 KIPS |
|
|
Text Classification (Q)
|
93% |
4207
5.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
4407
75.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7917
136.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8110
140.2 IPS |
