Mac Studio (2023)
Geekbench AI Score
2458
Single Precision Score
12804
Half Precision Score
13397
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | j4ys0n |
| Upload Date | August 16 2024 03:30 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| Model | Mac Studio (2023) |
| Model ID | Mac14,14 |
| Motherboard | Mac14,14 |
| CPU Information | |
|---|---|
| Name | Apple M2 Ultra |
| Topology | 1 Processor, 24 Cores |
| Identifier | Apple M2 Ultra |
| Base Frequency | 3.67 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1115
207.3 IPS |
|
|
Image Classification (HP)
|
100% |
8375
1.56 KIPS |
|
|
Image Classification (Q)
|
99% |
8769
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
775
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5128
83.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
5134
83.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15829
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
92497
107.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
86085
101.0 IPS |
|
|
Object Detection (SP)
|
100% |
1241
98.4 IPS |
|
|
Object Detection (HP)
|
99% |
10043
798.9 IPS |
|
|
Object Detection (Q)
|
93% |
10460
834.6 IPS |
|
|
Face Detection (SP)
|
100% |
2221
26.4 IPS |
|
|
Face Detection (HP)
|
100% |
11876
141.1 IPS |
|
|
Face Detection (Q)
|
100% |
14232
169.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4134
31.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
56719
437.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
61499
475.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14370
18.5 IPS |
|
|
Style Transfer (HP)
|
100% |
147590
189.7 IPS |
|
|
Style Transfer (Q)
|
100% |
147740
189.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2519
93.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20639
762.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
27735
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
725
967.3 IPS |
|
|
Text Classification (HP)
|
100% |
672
896.4 IPS |
|
|
Text Classification (Q)
|
93% |
599
803.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1976
34.0 IPS |
|
|
Machine Translation (HP)
|
96% |
2154
37.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2140
37.0 IPS |
