Mac Studio (2023)
Geekbench AI Score
15893
Single Precision Score
17370
Half Precision Score
16377
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | mubtafa |
| Upload Date | March 18 2026 08:38 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
6705
1.25 KIPS |
|
|
Image Classification (HP)
|
100% |
6831
1.27 KIPS |
|
|
Image Classification (Q)
|
94% |
6507
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14049
227.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13891
225.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
13250
214.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
62955
73.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
66988
78.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
64487
75.5 IPS |
|
|
Object Detection (SP)
|
100% |
6288
498.7 IPS |
|
|
Object Detection (HP)
|
100% |
6610
524.3 IPS |
|
|
Object Detection (Q)
|
91% |
6383
510.2 IPS |
|
|
Face Detection (SP)
|
100% |
27407
325.7 IPS |
|
|
Face Detection (HP)
|
100% |
27776
330.0 IPS |
|
|
Face Detection (Q)
|
100% |
25484
302.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
30557
235.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
31067
239.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
28953
226.4 IPS |
|
|
Style Transfer (SP)
|
100% |
116150
149.3 IPS |
|
|
Style Transfer (HP)
|
100% |
132067
169.8 IPS |
|
|
Style Transfer (Q)
|
96% |
128847
166.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20556
759.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21832
806.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19212
709.4 IPS |
|
|
Text Classification (SP)
|
100% |
2505
3.34 KIPS |
|
|
Text Classification (HP)
|
99% |
4262
5.69 KIPS |
|
|
Text Classification (Q)
|
93% |
4239
5.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
5507
94.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5614
96.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5054
87.3 IPS |
