Mac Pro (2023)
Geekbench AI Score
17991
Single Precision Score
19340
Half Precision Score
17516
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | richh- |
| Upload Date | March 20 2025 04:54 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 3.68 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6270
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
6289
1.17 KIPS |
|
|
Image Classification (Q)
|
97% |
5625
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17980
291.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18282
296.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
19017
308.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
138690
161.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
143366
167.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
131159
153.7 IPS |
|
|
Object Detection (SP)
|
100% |
6300
499.7 IPS |
|
|
Object Detection (HP)
|
100% |
6305
500.1 IPS |
|
|
Object Detection (Q)
|
91% |
5658
452.1 IPS |
|
|
Face Detection (SP)
|
100% |
34227
406.7 IPS |
|
|
Face Detection (HP)
|
100% |
35130
417.4 IPS |
|
|
Face Detection (Q)
|
100% |
27656
328.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
34612
266.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
36827
283.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
32344
252.8 IPS |
|
|
Style Transfer (SP)
|
100% |
226277
290.9 IPS |
|
|
Style Transfer (HP)
|
100% |
228297
293.5 IPS |
|
|
Style Transfer (Q)
|
96% |
212374
274.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25168
929.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26296
971.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21016
776.0 IPS |
|
|
Text Classification (SP)
|
100% |
2356
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
4039
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
3989
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2270
39.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2246
38.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2151
37.2 IPS |
