Mac Studio (2023)
Geekbench AI Score
2305
Single Precision Score
15187
Half Precision Score
16825
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | VenomF5 |
| Upload Date | September 25 2024 11:22 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
1122
208.6 IPS |
|
|
Image Classification (HP)
|
100% |
8159
1.52 KIPS |
|
|
Image Classification (Q)
|
96% |
8409
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
725
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5116
82.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
8809
142.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11106
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
92940
108.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
89690
105.1 IPS |
|
|
Object Detection (SP)
|
100% |
1282
101.7 IPS |
|
|
Object Detection (HP)
|
99% |
9459
752.5 IPS |
|
|
Object Detection (Q)
|
93% |
10207
814.4 IPS |
|
|
Face Detection (SP)
|
100% |
2000
23.8 IPS |
|
|
Face Detection (HP)
|
100% |
11255
133.7 IPS |
|
|
Face Detection (Q)
|
100% |
12846
152.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3477
26.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
55089
424.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
67942
530.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12887
16.6 IPS |
|
|
Style Transfer (HP)
|
100% |
146254
188.0 IPS |
|
|
Style Transfer (Q)
|
95% |
134090
173.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2188
80.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20985
774.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28212
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
1023
1.37 KIPS |
|
|
Text Classification (HP)
|
100% |
4571
6.10 KIPS |
|
|
Text Classification (Q)
|
93% |
3982
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1827
31.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2045
35.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2039
35.2 IPS |
