Mac Studio (2023)
Geekbench AI Score
4143
Single Precision Score
27425
Half Precision Score
30715
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | edsonchan |
| Upload Date | May 10 2025 04:28 AM |
| Views | 5 |
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 | 3.67 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1392
258.9 IPS |
|
|
Image Classification (HP)
|
100% |
15096
2.81 KIPS |
|
|
Image Classification (Q)
|
96% |
18095
3.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1675
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
20111
326.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24899
403.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12969
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
107134
125.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
106451
124.8 IPS |
|
|
Object Detection (SP)
|
100% |
1672
132.7 IPS |
|
|
Object Detection (HP)
|
99% |
15802
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
17686
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
3604
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
35906
426.6 IPS |
|
|
Face Detection (Q)
|
100% |
46870
556.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6263
48.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
87362
673.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
108593
848.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25077
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
203399
261.5 IPS |
|
|
Style Transfer (Q)
|
96% |
190889
246.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5069
187.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41221
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49935
1.84 KIPS |
|
|
Text Classification (SP)
|
100% |
2361
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
4204
5.61 KIPS |
|
|
Text Classification (Q)
|
93% |
4107
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
4357
75.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4237
73.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4423
76.4 IPS |
