Mac Pro (2023)
Geekbench AI Score
16445
Single Precision Score
17703
Half Precision Score
15917
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | look234 |
| Upload Date | October 28 2024 11:34 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| Model | Mac Pro (2023) |
| Model ID | Mac14,8 |
| Motherboard | Mac14,8 |
| CPU Information | |
|---|---|
| Name | Apple M2 Ultra |
| Topology | 1 Processor, 24 Cores |
| Identifier | Apple M2 Ultra |
| Base Frequency | 3.61 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6306
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
6196
1.15 KIPS |
|
|
Image Classification (Q)
|
97% |
5543
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16143
261.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16417
266.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
16592
269.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
105730
123.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
111222
129.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
101763
119.3 IPS |
|
|
Object Detection (SP)
|
100% |
5867
465.3 IPS |
|
|
Object Detection (HP)
|
100% |
6210
492.6 IPS |
|
|
Object Detection (Q)
|
91% |
5627
449.6 IPS |
|
|
Face Detection (SP)
|
100% |
32896
390.9 IPS |
|
|
Face Detection (HP)
|
100% |
32568
387.0 IPS |
|
|
Face Detection (Q)
|
100% |
25075
297.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
33272
256.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
35101
270.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
30295
236.8 IPS |
|
|
Style Transfer (SP)
|
100% |
196193
252.2 IPS |
|
|
Style Transfer (HP)
|
100% |
201350
258.8 IPS |
|
|
Style Transfer (Q)
|
96% |
186378
240.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23987
885.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24426
901.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19784
730.5 IPS |
|
|
Text Classification (SP)
|
100% |
2105
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
3684
4.92 KIPS |
|
|
Text Classification (Q)
|
93% |
3496
4.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
2114
36.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2078
35.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2025
35.0 IPS |
