Mac Pro (2023)
Geekbench AI Score
4201
Single Precision Score
25586
Half Precision Score
28835
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | look234 |
| Upload Date | October 28 2024 11:29 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1349
250.8 IPS |
|
|
Image Classification (HP)
|
100% |
13713
2.55 KIPS |
|
|
Image Classification (Q)
|
96% |
15833
2.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1641
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19170
310.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23340
378.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16047
18.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
106093
123.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
105259
123.4 IPS |
|
|
Object Detection (SP)
|
100% |
1742
138.2 IPS |
|
|
Object Detection (HP)
|
99% |
15373
1.22 KIPS |
|
|
Object Detection (Q)
|
91% |
17196
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3434
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
31855
378.5 IPS |
|
|
Face Detection (Q)
|
100% |
43475
516.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6454
49.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
85957
662.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
107029
836.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25206
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
202746
260.6 IPS |
|
|
Style Transfer (Q)
|
96% |
191801
247.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5275
194.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39705
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47397
1.75 KIPS |
|
|
Text Classification (SP)
|
100% |
2024
2.70 KIPS |
|
|
Text Classification (HP)
|
100% |
3646
4.87 KIPS |
|
|
Text Classification (Q)
|
93% |
3743
5.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
4647
80.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3490
60.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3753
64.9 IPS |
