Mac Studio (2023)
Geekbench AI Score
17075
Single Precision Score
18829
Half Precision Score
17897
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | alexeft |
| Upload Date | March 16 2026 06:08 PM |
| Views | 8 |
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 | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6813
1.27 KIPS |
|
|
Image Classification (HP)
|
100% |
7004
1.30 KIPS |
|
|
Image Classification (Q)
|
94% |
6677
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16026
259.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
15690
254.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
14935
242.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
83392
97.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
89759
104.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
86579
101.4 IPS |
|
|
Object Detection (SP)
|
100% |
6442
511.0 IPS |
|
|
Object Detection (HP)
|
100% |
6824
541.3 IPS |
|
|
Object Detection (Q)
|
91% |
6422
513.3 IPS |
|
|
Face Detection (SP)
|
100% |
29238
347.4 IPS |
|
|
Face Detection (HP)
|
100% |
30591
363.5 IPS |
|
|
Face Detection (Q)
|
100% |
27277
324.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
33514
258.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
34627
266.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
32535
254.4 IPS |
|
|
Style Transfer (SP)
|
100% |
135930
174.7 IPS |
|
|
Style Transfer (HP)
|
100% |
155431
199.8 IPS |
|
|
Style Transfer (Q)
|
96% |
151150
195.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20278
748.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24315
897.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21145
780.8 IPS |
|
|
Text Classification (SP)
|
100% |
2489
3.32 KIPS |
|
|
Text Classification (HP)
|
99% |
3792
5.06 KIPS |
|
|
Text Classification (Q)
|
93% |
4334
5.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
5345
92.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5483
94.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4948
85.5 IPS |
