Mac Studio (2023)
Geekbench AI Score
4229
Single Precision Score
7169
Half Precision Score
5754
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | mfc1992 |
| Upload Date | February 24 2026 03:08 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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% |
1435
266.9 IPS |
|
|
Image Classification (HP)
|
100% |
2437
453.2 IPS |
|
|
Image Classification (Q)
|
96% |
1775
331.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1796
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2711
43.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3057
49.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12138
14.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
26885
31.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
20995
24.6 IPS |
|
|
Object Detection (SP)
|
100% |
1701
135.0 IPS |
|
|
Object Detection (HP)
|
97% |
2912
231.8 IPS |
|
|
Object Detection (Q)
|
94% |
2146
171.0 IPS |
|
|
Face Detection (SP)
|
100% |
3804
45.2 IPS |
|
|
Face Detection (HP)
|
100% |
6343
75.4 IPS |
|
|
Face Detection (Q)
|
100% |
3666
43.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6264
48.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11223
86.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8181
64.0 IPS |
|
|
Style Transfer (SP)
|
100% |
26348
33.9 IPS |
|
|
Style Transfer (HP)
|
100% |
41981
54.0 IPS |
|
|
Style Transfer (Q)
|
96% |
33309
43.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5069
187.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6798
251.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4749
175.4 IPS |
|
|
Text Classification (SP)
|
100% |
2460
3.28 KIPS |
|
|
Text Classification (HP)
|
99% |
4306
5.75 KIPS |
|
|
Text Classification (Q)
|
93% |
4326
5.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
4399
75.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7934
137.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7941
137.2 IPS |
