Mac Studio (2023)
Geekbench AI Score
2437
Single Precision Score
15154
Half Precision Score
16096
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | ckourey308 |
| Upload Date | August 19 2024 05:17 PM |
| Views | 7 |
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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1123
208.9 IPS |
|
|
Image Classification (HP)
|
100% |
8065
1.50 KIPS |
|
|
Image Classification (Q)
|
99% |
8425
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
743
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5140
83.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
5137
83.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11338
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
92711
108.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
87707
102.9 IPS |
|
|
Object Detection (SP)
|
100% |
1286
102.0 IPS |
|
|
Object Detection (HP)
|
99% |
9379
746.1 IPS |
|
|
Object Detection (Q)
|
93% |
10315
823.1 IPS |
|
|
Face Detection (SP)
|
100% |
2113
25.1 IPS |
|
|
Face Detection (HP)
|
100% |
11739
139.5 IPS |
|
|
Face Detection (Q)
|
100% |
14005
166.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3787
29.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
56406
434.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
60565
468.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13252
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
146173
187.9 IPS |
|
|
Style Transfer (Q)
|
100% |
146028
187.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2327
85.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20764
766.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
28086
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
1307
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
4295
5.73 KIPS |
|
|
Text Classification (Q)
|
93% |
4204
5.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1886
32.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2054
35.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2039
35.2 IPS |
