Mac Studio (2023)
Geekbench AI Score
4157
Single Precision Score
7081
Half Precision Score
5669
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | October 31 2025 10:52 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 3.64 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1406
261.5 IPS |
|
|
Image Classification (HP)
|
100% |
2410
448.2 IPS |
|
|
Image Classification (Q)
|
96% |
1759
328.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1754
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2699
43.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3034
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12065
14.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
26461
30.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
20836
24.4 IPS |
|
|
Object Detection (SP)
|
100% |
1691
134.1 IPS |
|
|
Object Detection (HP)
|
97% |
2832
225.5 IPS |
|
|
Object Detection (Q)
|
94% |
2074
165.3 IPS |
|
|
Face Detection (SP)
|
100% |
3670
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
6293
74.8 IPS |
|
|
Face Detection (Q)
|
100% |
3603
42.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6128
47.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11833
91.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8227
64.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25970
33.4 IPS |
|
|
Style Transfer (HP)
|
100% |
41840
53.8 IPS |
|
|
Style Transfer (Q)
|
96% |
32747
42.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4967
183.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6683
246.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4663
172.2 IPS |
|
|
Text Classification (SP)
|
100% |
2431
3.24 KIPS |
|
|
Text Classification (HP)
|
99% |
4095
5.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4203
5.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
4346
74.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7634
131.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7827
135.3 IPS |
