Mac Studio (2023)
Geekbench AI Score
4156
Single Precision Score
27645
Half Precision Score
31128
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | masm66 |
| Upload Date | November 10 2024 10:46 AM |
| Views | 2 |
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% |
1389
258.4 IPS |
|
|
Image Classification (HP)
|
100% |
14381
2.67 KIPS |
|
|
Image Classification (Q)
|
96% |
16704
3.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1685
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19750
320.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24680
400.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12868
15.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
107167
125.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
105116
123.2 IPS |
|
|
Object Detection (SP)
|
100% |
1679
133.2 IPS |
|
|
Object Detection (HP)
|
99% |
15604
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
17211
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3664
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
35858
426.1 IPS |
|
|
Face Detection (Q)
|
100% |
45842
544.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6282
48.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
87852
676.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
108745
849.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24850
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
204301
262.6 IPS |
|
|
Style Transfer (Q)
|
96% |
194477
251.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5069
187.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41457
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49705
1.84 KIPS |
|
|
Text Classification (SP)
|
100% |
2296
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4043
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4027
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
4569
78.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5090
87.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5903
102.0 IPS |
