Mac Pro (2023)
Geekbench AI Score
17820
Single Precision Score
19092
Half Precision Score
17362
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | richh- |
| Upload Date | March 20 2025 05:51 PM |
| Views | 7 |
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% |
6279
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
6351
1.18 KIPS |
|
|
Image Classification (Q)
|
97% |
5661
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17986
291.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18527
300.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
19264
312.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
138598
161.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
143634
167.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
130413
152.9 IPS |
|
|
Object Detection (SP)
|
100% |
6302
499.9 IPS |
|
|
Object Detection (HP)
|
100% |
6325
501.7 IPS |
|
|
Object Detection (Q)
|
91% |
5693
454.9 IPS |
|
|
Face Detection (SP)
|
100% |
35243
418.8 IPS |
|
|
Face Detection (HP)
|
100% |
35119
417.3 IPS |
|
|
Face Detection (Q)
|
100% |
28236
335.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
35092
270.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
37108
285.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
32480
253.8 IPS |
|
|
Style Transfer (SP)
|
100% |
227818
292.9 IPS |
|
|
Style Transfer (HP)
|
100% |
229399
294.9 IPS |
|
|
Style Transfer (Q)
|
96% |
212836
274.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25432
939.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26163
966.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20924
772.6 IPS |
|
|
Text Classification (SP)
|
100% |
2289
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4029
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4011
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1996
34.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1911
32.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1877
32.4 IPS |
