Mac Studio (2023)
Geekbench AI Score
4103
Single Precision Score
6579
Half Precision Score
5305
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | BirdsLikeWires |
| Upload Date | September 09 2025 01:24 PM |
| Views | 4 |
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 | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1404
261.1 IPS |
|
|
Image Classification (HP)
|
100% |
2255
419.4 IPS |
|
|
Image Classification (Q)
|
96% |
1664
310.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1597
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2413
39.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2892
46.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12686
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
25531
29.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
19166
22.5 IPS |
|
|
Object Detection (SP)
|
100% |
1680
133.2 IPS |
|
|
Object Detection (HP)
|
97% |
2624
208.9 IPS |
|
|
Object Detection (Q)
|
94% |
1950
155.4 IPS |
|
|
Face Detection (SP)
|
100% |
3466
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
5449
64.7 IPS |
|
|
Face Detection (Q)
|
100% |
3324
39.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6071
46.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11113
85.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7842
61.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25247
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38361
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30403
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5053
186.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6438
237.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4535
167.4 IPS |
|
|
Text Classification (SP)
|
100% |
2364
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
4146
5.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4173
5.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
4464
76.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6727
116.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6547
113.1 IPS |
