Mac Studio (2023)
Geekbench AI Score
4105
Single Precision Score
26893
Half Precision Score
30136
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | BirdsLikeWires |
| Upload Date | September 09 2025 01:33 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.49 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1396
259.5 IPS |
|
|
Image Classification (HP)
|
100% |
13852
2.58 KIPS |
|
|
Image Classification (Q)
|
96% |
16672
3.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1603
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19856
321.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24605
398.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12645
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
105418
123.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
104228
122.2 IPS |
|
|
Object Detection (SP)
|
100% |
1668
132.3 IPS |
|
|
Object Detection (HP)
|
99% |
15446
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
17236
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3492
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
34851
414.1 IPS |
|
|
Face Detection (Q)
|
100% |
44882
533.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6061
46.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
87770
676.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
107431
839.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25507
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
204192
262.5 IPS |
|
|
Style Transfer (Q)
|
96% |
191627
247.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5113
188.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41182
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49394
1.82 KIPS |
|
|
Text Classification (SP)
|
100% |
2368
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
4129
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4151
5.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
4405
75.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4161
71.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4426
76.5 IPS |
