Mac Studio (2023)
Geekbench AI Score
4019
Single Precision Score
6570
Half Precision Score
5228
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | archiarch |
| Upload Date | January 07 2026 05:34 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.33 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1345
250.1 IPS |
|
|
Image Classification (HP)
|
100% |
2219
412.7 IPS |
|
|
Image Classification (Q)
|
96% |
1617
301.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1551
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2411
39.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2799
45.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12254
14.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
24890
29.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
18971
22.2 IPS |
|
|
Object Detection (SP)
|
100% |
1606
127.4 IPS |
|
|
Object Detection (HP)
|
97% |
2614
208.1 IPS |
|
|
Object Detection (Q)
|
94% |
1912
152.4 IPS |
|
|
Face Detection (SP)
|
100% |
3546
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
5718
67.9 IPS |
|
|
Face Detection (Q)
|
100% |
3287
39.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6026
46.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11043
85.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7815
61.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25050
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38680
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30324
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5069
187.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6484
239.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4474
165.2 IPS |
|
|
Text Classification (SP)
|
100% |
2310
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4031
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4019
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
4276
73.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6750
116.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6638
114.7 IPS |
