Mac Studio (2023)
Geekbench AI Score
4103
Single Precision Score
27218
Half Precision Score
30336
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | danilonc |
| Upload Date | June 27 2025 07:32 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
1392
258.8 IPS |
|
|
Image Classification (HP)
|
100% |
14042
2.61 KIPS |
|
|
Image Classification (Q)
|
96% |
17039
3.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1625
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
20057
325.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24780
401.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12808
14.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
106782
124.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
104768
122.8 IPS |
|
|
Object Detection (SP)
|
100% |
1672
132.6 IPS |
|
|
Object Detection (HP)
|
99% |
15896
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
17352
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
3551
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
35556
422.5 IPS |
|
|
Face Detection (Q)
|
100% |
46054
547.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6056
46.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
87929
677.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
109864
858.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25157
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
205552
264.2 IPS |
|
|
Style Transfer (Q)
|
96% |
190652
246.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5025
185.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41988
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49859
1.84 KIPS |
|
|
Text Classification (SP)
|
100% |
2357
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
4157
5.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4133
5.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4357
75.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4162
71.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4327
74.8 IPS |
