Mac Studio (2023)
Geekbench AI Score
2274
Single Precision Score
15299
Half Precision Score
17351
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | 6liter |
| Upload Date | August 23 2025 06:37 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.6 (Build 23G80) |
| 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% |
1079
200.6 IPS |
|
|
Image Classification (HP)
|
100% |
8427
1.57 KIPS |
|
|
Image Classification (Q)
|
96% |
8657
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
738
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5166
83.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
8717
141.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11302
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
92930
108.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
87722
102.8 IPS |
|
|
Object Detection (SP)
|
100% |
1172
92.9 IPS |
|
|
Object Detection (HP)
|
99% |
9560
760.5 IPS |
|
|
Object Detection (Q)
|
93% |
10278
820.1 IPS |
|
|
Face Detection (SP)
|
100% |
2050
24.4 IPS |
|
|
Face Detection (HP)
|
100% |
11708
139.1 IPS |
|
|
Face Detection (Q)
|
100% |
13629
161.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3761
29.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
55707
429.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
68380
534.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13286
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
148081
190.4 IPS |
|
|
Style Transfer (Q)
|
95% |
135543
175.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2234
82.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20966
774.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28812
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
851
1.14 KIPS |
|
|
Text Classification (HP)
|
100% |
4523
6.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5121
6.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1804
31.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1984
34.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1951
33.7 IPS |
