MacBook Pro M5 Pro (2026) Mac17,9
Geekbench AI Score
4812
Single Precision Score
44029
Half Precision Score
59366
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | StefanGentz |
| Upload Date | March 18 2026 11:03 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| Model | Mac17,9 |
| Model ID | Mac17,9 |
| Motherboard | Mac17,9 |
| CPU Information | |
|---|---|
| Name | Apple M5 Pro |
| Topology | 1 Processor, 15 Cores |
| Identifier | Apple M5 Pro |
| Base Frequency | 4.09 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2181
405.6 IPS |
|
|
Image Classification (HP)
|
100% |
20964
3.90 KIPS |
|
|
Image Classification (Q)
|
97% |
25422
4.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2435
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
25835
418.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
36783
596.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10259
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
173293
202.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
322370
377.8 IPS |
|
|
Object Detection (SP)
|
100% |
2683
212.8 IPS |
|
|
Object Detection (HP)
|
100% |
23260
1.85 KIPS |
|
|
Object Detection (Q)
|
91% |
27848
2.23 KIPS |
|
|
Face Detection (SP)
|
100% |
4768
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
48071
571.2 IPS |
|
|
Face Detection (Q)
|
100% |
68870
818.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9057
69.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
134143
1.03 KIPS |
|
|
Depth Estimation (Q)
|
85% |
217153
1.70 KIPS |
|
|
Style Transfer (SP)
|
100% |
26301
33.8 IPS |
|
|
Style Transfer (HP)
|
100% |
276729
355.7 IPS |
|
|
Style Transfer (Q)
|
96% |
386118
498.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5946
219.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
65249
2.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
104794
3.87 KIPS |
|
|
Text Classification (SP)
|
100% |
2937
3.92 KIPS |
|
|
Text Classification (HP)
|
99% |
5385
7.19 KIPS |
|
|
Text Classification (Q)
|
93% |
5377
7.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2298
39.6 IPS |
|
|
Machine Translation (HP)
|
100% |
20003
344.6 IPS |
|
|
Machine Translation (Q)
|
98% |
19907
344.0 IPS |
