Mac Studio (2023)
Geekbench AI Score
4179
Single Precision Score
7019
Half Precision Score
5620
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | tokris |
| Upload Date | January 17 2026 03:29 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5087f) |
| 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 | 3.65 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1397
259.8 IPS |
|
|
Image Classification (HP)
|
100% |
2351
437.2 IPS |
|
|
Image Classification (Q)
|
96% |
1724
322.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1792
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2698
43.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3046
49.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12222
14.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
26761
31.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
21063
24.7 IPS |
|
|
Object Detection (SP)
|
100% |
1696
134.5 IPS |
|
|
Object Detection (HP)
|
97% |
2850
226.9 IPS |
|
|
Object Detection (Q)
|
94% |
2089
166.5 IPS |
|
|
Face Detection (SP)
|
100% |
3753
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
6253
74.3 IPS |
|
|
Face Detection (Q)
|
100% |
3580
42.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6170
47.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11792
91.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8181
64.0 IPS |
|
|
Style Transfer (SP)
|
100% |
26063
33.5 IPS |
|
|
Style Transfer (HP)
|
100% |
41886
53.8 IPS |
|
|
Style Transfer (Q)
|
96% |
32925
42.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5005
184.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6800
251.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4661
172.1 IPS |
|
|
Text Classification (SP)
|
100% |
2368
3.16 KIPS |
|
|
Text Classification (HP)
|
99% |
3940
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3912
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
4384
75.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7257
125.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7750
133.9 IPS |
