Mac Studio (2023)
Geekbench AI Score
16340
Single Precision Score
17772
Half Precision Score
16666
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | tokris |
| Upload Date | March 16 2025 12:31 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5228e) |
| 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 | 3.66 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6761
1.26 KIPS |
|
|
Image Classification (HP)
|
100% |
6982
1.30 KIPS |
|
|
Image Classification (Q)
|
96% |
6402
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16104
261.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15748
255.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
15009
243.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
83404
97.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
87193
101.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
84294
98.8 IPS |
|
|
Object Detection (SP)
|
100% |
6719
532.9 IPS |
|
|
Object Detection (HP)
|
100% |
6883
545.9 IPS |
|
|
Object Detection (Q)
|
92% |
6386
509.7 IPS |
|
|
Face Detection (SP)
|
100% |
28490
338.5 IPS |
|
|
Face Detection (HP)
|
100% |
29530
350.9 IPS |
|
|
Face Detection (Q)
|
100% |
25640
304.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
34101
262.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
34527
266.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
31918
249.6 IPS |
|
|
Style Transfer (SP)
|
100% |
136336
175.3 IPS |
|
|
Style Transfer (HP)
|
100% |
154069
198.1 IPS |
|
|
Style Transfer (Q)
|
96% |
150302
194.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20354
751.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20910
772.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18582
686.1 IPS |
|
|
Text Classification (SP)
|
100% |
2331
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4049
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4019
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3539
61.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3582
61.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3480
60.1 IPS |
