Mac Studio (2023)
Geekbench AI Score
3954
Single Precision Score
27035
Half Precision Score
30162
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | mubtafa |
| Upload Date | March 18 2026 08:34 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1290
239.9 IPS |
|
|
Image Classification (HP)
|
100% |
15774
2.93 KIPS |
|
|
Image Classification (Q)
|
96% |
18470
3.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1717
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
20080
325.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24938
404.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11234
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
107829
125.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
106975
125.4 IPS |
|
|
Object Detection (SP)
|
100% |
1548
122.8 IPS |
|
|
Object Detection (HP)
|
99% |
16620
1.32 KIPS |
|
|
Object Detection (Q)
|
91% |
18460
1.48 KIPS |
|
|
Face Detection (SP)
|
100% |
3529
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
37069
440.5 IPS |
|
|
Face Detection (Q)
|
100% |
48152
572.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5999
46.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
91105
701.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
114217
892.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24197
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
206300
265.2 IPS |
|
|
Style Transfer (Q)
|
96% |
195011
251.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4891
180.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46754
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53896
1.99 KIPS |
|
|
Text Classification (SP)
|
100% |
2357
3.15 KIPS |
|
|
Text Classification (HP)
|
99% |
4029
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4113
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
4110
70.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2800
48.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2882
49.8 IPS |
