Mac Pro (2023)
Geekbench AI Score
18129
Single Precision Score
19261
Half Precision Score
17469
Quantized Score
Geekbench AI 1.1.0 Pro for macOS AArch64
Result Information
| User | Gonfonix |
| Upload Date | November 10 2024 02:05 AM |
| Views | 5 |
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 | 3.66 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6230
1.16 KIPS |
|
|
Image Classification (HP)
|
100% |
6307
1.17 KIPS |
|
|
Image Classification (Q)
|
97% |
5627
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17792
288.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18261
296.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
19088
309.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
137669
160.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
141813
165.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
130324
152.8 IPS |
|
|
Object Detection (SP)
|
100% |
6124
485.8 IPS |
|
|
Object Detection (HP)
|
100% |
6310
500.5 IPS |
|
|
Object Detection (Q)
|
91% |
5665
452.7 IPS |
|
|
Face Detection (SP)
|
100% |
35085
416.9 IPS |
|
|
Face Detection (HP)
|
100% |
35303
419.5 IPS |
|
|
Face Detection (Q)
|
100% |
28039
333.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
34936
269.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
36867
284.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
31912
249.4 IPS |
|
|
Style Transfer (SP)
|
100% |
227122
292.0 IPS |
|
|
Style Transfer (HP)
|
100% |
228034
293.1 IPS |
|
|
Style Transfer (Q)
|
96% |
212647
274.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25476
940.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26175
966.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21033
776.7 IPS |
|
|
Text Classification (SP)
|
100% |
2339
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
4029
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4007
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2474
42.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2179
37.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2082
36.0 IPS |
