Mac Studio (2023)
Geekbench AI Score
13885
Single Precision Score
15509
Half Precision Score
14464
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | archiarch |
| Upload Date | January 07 2026 05:36 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 3.33 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5987
1.11 KIPS |
|
|
Image Classification (HP)
|
100% |
6340
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
5798
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13262
215.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13263
215.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
12660
205.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
60555
70.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
66302
77.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
63756
74.7 IPS |
|
|
Object Detection (SP)
|
100% |
5745
455.7 IPS |
|
|
Object Detection (HP)
|
100% |
5872
465.8 IPS |
|
|
Object Detection (Q)
|
92% |
5438
434.0 IPS |
|
|
Face Detection (SP)
|
100% |
22555
268.0 IPS |
|
|
Face Detection (HP)
|
100% |
23999
285.2 IPS |
|
|
Face Detection (Q)
|
100% |
20896
248.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
27923
215.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
29283
225.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
26999
210.9 IPS |
|
|
Style Transfer (SP)
|
100% |
111371
143.2 IPS |
|
|
Style Transfer (HP)
|
100% |
127685
164.1 IPS |
|
|
Style Transfer (Q)
|
96% |
125474
161.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18828
695.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20254
747.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17497
646.1 IPS |
|
|
Text Classification (SP)
|
100% |
2251
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3901
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3875
5.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3246
55.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3469
59.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3283
56.7 IPS |
