Mac Studio (2023)
Geekbench AI Score
2320
Single Precision Score
20848
Half Precision Score
18151
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | sth519 |
| Upload Date | April 01 2025 01:34 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 3.25 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
659
122.6 IPS |
|
|
Image Classification (HP)
|
100% |
6454
1.20 KIPS |
|
|
Image Classification (Q)
|
96% |
6186
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1142
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19221
311.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
16875
273.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7317
8.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
97307
113.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
98976
116.0 IPS |
|
|
Object Detection (SP)
|
100% |
525
41.6 IPS |
|
|
Object Detection (HP)
|
99% |
13455
1.07 KIPS |
|
|
Object Detection (Q)
|
91% |
8233
657.9 IPS |
|
|
Face Detection (SP)
|
100% |
2867
34.1 IPS |
|
|
Face Detection (HP)
|
100% |
33875
402.5 IPS |
|
|
Face Detection (Q)
|
100% |
22596
268.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4729
36.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
68684
529.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
94939
741.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18992
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
194067
249.5 IPS |
|
|
Style Transfer (Q)
|
96% |
171816
221.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1746
64.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22216
820.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12577
464.4 IPS |
|
|
Text Classification (SP)
|
100% |
1798
2.40 KIPS |
|
|
Text Classification (HP)
|
100% |
2878
3.84 KIPS |
|
|
Text Classification (Q)
|
93% |
2845
3.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
1939
33.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3309
57.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3461
59.8 IPS |
