Mac17,9
Geekbench AI Score
5041
Single Precision Score
44825
Half Precision Score
59960
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| Upload Date | March 07 2026 10:37 PM |
| Views | 29 |
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, 18 Cores |
| Identifier | Apple M5 Pro |
| Base Frequency | 4.61 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2342
435.4 IPS |
|
|
Image Classification (HP)
|
100% |
21238
3.95 KIPS |
|
|
Image Classification (Q)
|
97% |
25871
4.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2480
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
26079
422.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
36522
592.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11255
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
183586
214.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
339097
397.4 IPS |
|
|
Object Detection (SP)
|
100% |
2812
223.1 IPS |
|
|
Object Detection (HP)
|
100% |
23635
1.87 KIPS |
|
|
Object Detection (Q)
|
91% |
28275
2.26 KIPS |
|
|
Face Detection (SP)
|
100% |
5125
60.9 IPS |
|
|
Face Detection (HP)
|
100% |
49893
592.8 IPS |
|
|
Face Detection (Q)
|
100% |
70607
839.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9416
72.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
137932
1.06 KIPS |
|
|
Depth Estimation (Q)
|
85% |
203755
1.59 KIPS |
|
|
Style Transfer (SP)
|
100% |
27071
34.8 IPS |
|
|
Style Transfer (HP)
|
100% |
287904
370.1 IPS |
|
|
Style Transfer (Q)
|
96% |
398321
514.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6035
222.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
66446
2.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
101935
3.76 KIPS |
|
|
Text Classification (SP)
|
100% |
2987
3.99 KIPS |
|
|
Text Classification (HP)
|
99% |
5637
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5648
7.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
2448
42.2 IPS |
|
|
Machine Translation (HP)
|
100% |
18364
316.3 IPS |
|
|
Machine Translation (Q)
|
98% |
20099
347.3 IPS |
