Mac17,8
Geekbench AI Score
5037
Single Precision Score
44472
Half Precision Score
59211
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | bgh0809 |
| Upload Date | March 15 2026 01:03 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D2125) |
| Model | Mac17,8 |
| Model ID | Mac17,8 |
| Motherboard | Mac17,8 |
| CPU Information | |
|---|---|
| Name | Apple M5 Pro |
| Topology | 1 Processor, 18 Cores |
| Identifier | Apple M5 Pro |
| Base Frequency | 4.61 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2348
436.6 IPS |
|
|
Image Classification (HP)
|
100% |
20211
3.76 KIPS |
|
|
Image Classification (Q)
|
97% |
24679
4.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2467
40.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
26023
421.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
37309
604.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11252
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
182910
213.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
337136
395.1 IPS |
|
|
Object Detection (SP)
|
100% |
2823
223.9 IPS |
|
|
Object Detection (HP)
|
100% |
23264
1.85 KIPS |
|
|
Object Detection (Q)
|
91% |
27741
2.22 KIPS |
|
|
Face Detection (SP)
|
100% |
5177
61.5 IPS |
|
|
Face Detection (HP)
|
100% |
49386
586.8 IPS |
|
|
Face Detection (Q)
|
100% |
68764
817.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9396
72.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
135903
1.05 KIPS |
|
|
Depth Estimation (Q)
|
85% |
213282
1.67 KIPS |
|
|
Style Transfer (SP)
|
100% |
26739
34.4 IPS |
|
|
Style Transfer (HP)
|
100% |
287834
370.0 IPS |
|
|
Style Transfer (Q)
|
96% |
396445
511.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6027
222.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
66139
2.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99344
3.67 KIPS |
|
|
Text Classification (SP)
|
100% |
3012
4.02 KIPS |
|
|
Text Classification (HP)
|
99% |
5612
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5572
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2420
41.7 IPS |
|
|
Machine Translation (HP)
|
100% |
18856
324.8 IPS |
|
|
Machine Translation (Q)
|
98% |
19112
330.3 IPS |
