Mac Studio (2023)
Geekbench AI Score
14820
Single Precision Score
16280
Half Precision Score
15321
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | danilonc |
| Upload Date | June 27 2025 07:30 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.49 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6472
1.20 KIPS |
|
|
Image Classification (HP)
|
100% |
6463
1.20 KIPS |
|
|
Image Classification (Q)
|
96% |
6028
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13649
221.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
13664
221.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
12806
207.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
61743
72.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
66296
77.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
63734
74.7 IPS |
|
|
Object Detection (SP)
|
100% |
6006
476.4 IPS |
|
|
Object Detection (HP)
|
100% |
6343
503.1 IPS |
|
|
Object Detection (Q)
|
92% |
5907
471.5 IPS |
|
|
Face Detection (SP)
|
100% |
25292
300.5 IPS |
|
|
Face Detection (HP)
|
100% |
25841
307.0 IPS |
|
|
Face Detection (Q)
|
100% |
22418
266.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
29203
225.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
29916
230.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
27636
215.9 IPS |
|
|
Style Transfer (SP)
|
100% |
114462
147.1 IPS |
|
|
Style Transfer (HP)
|
100% |
129724
166.8 IPS |
|
|
Style Transfer (Q)
|
96% |
126575
163.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19919
735.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21220
783.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18864
696.6 IPS |
|
|
Text Classification (SP)
|
100% |
2378
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
4160
5.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4138
5.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3898
67.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3979
68.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4006
69.2 IPS |
