Mac17,9
Geekbench AI Score
5336
Single Precision Score
48191
Half Precision Score
64903
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | nvsnvs32 |
| Upload Date | March 24 2026 08:56 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| 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 | 4.60 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2327
432.7 IPS |
|
|
Image Classification (HP)
|
100% |
21054
3.92 KIPS |
|
|
Image Classification (Q)
|
97% |
26599
4.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2519
40.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
25845
419.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
38796
628.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9648
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
184118
214.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
342260
401.1 IPS |
|
|
Object Detection (SP)
|
100% |
2861
227.0 IPS |
|
|
Object Detection (HP)
|
100% |
24337
1.93 KIPS |
|
|
Object Detection (Q)
|
89% |
30137
2.41 KIPS |
|
|
Face Detection (SP)
|
100% |
5492
65.3 IPS |
|
|
Face Detection (HP)
|
100% |
51016
606.2 IPS |
|
|
Face Detection (Q)
|
100% |
78944
938.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9108
70.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
140878
1.09 KIPS |
|
|
Depth Estimation (Q)
|
85% |
222259
1.74 KIPS |
|
|
Style Transfer (SP)
|
100% |
24898
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
289788
372.5 IPS |
|
|
Style Transfer (Q)
|
96% |
360355
465.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5854
216.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
67405
2.49 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
101553
3.75 KIPS |
|
|
Text Classification (SP)
|
99% |
5813
7.76 KIPS |
|
|
Text Classification (HP)
|
99% |
9940
13.3 KIPS |
|
|
Text Classification (Q)
|
93% |
9913
13.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
2732
47.1 IPS |
|
|
Machine Translation (HP)
|
100% |
19858
342.1 IPS |
|
|
Machine Translation (Q)
|
98% |
19577
338.3 IPS |
