Mac Studio (2023)
Geekbench AI Score
4124
Single Precision Score
27678
Half Precision Score
31126
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 19 2024 03:55 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 3.46 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1384
257.4 IPS |
|
|
Image Classification (HP)
|
100% |
14535
2.70 KIPS |
|
|
Image Classification (Q)
|
96% |
17300
3.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1674
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19484
315.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24787
401.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12940
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
106311
124.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
104571
122.6 IPS |
|
|
Object Detection (SP)
|
100% |
1690
134.0 IPS |
|
|
Object Detection (HP)
|
99% |
16004
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
17342
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
3631
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
35730
424.5 IPS |
|
|
Face Detection (Q)
|
100% |
45677
542.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6201
47.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
87795
676.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
109045
852.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25018
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
204299
262.6 IPS |
|
|
Style Transfer (Q)
|
96% |
189937
245.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5109
188.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41164
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50799
1.88 KIPS |
|
|
Text Classification (SP)
|
100% |
2275
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
4038
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
3964
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
4294
74.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5142
88.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5763
99.6 IPS |
