Mac17,2
Geekbench AI Score
5316
Single Precision Score
40882
Half Precision Score
57423
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | moltocartese |
| Upload Date | January 01 2026 11:57 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| Model | Mac17,2 |
| Model ID | Mac17,2 |
| Motherboard | Mac17,2 |
| CPU Information | |
|---|---|
| Name | Apple M5 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M5 |
| Base Frequency | 4.61 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2295
426.8 IPS |
|
|
Image Classification (HP)
|
100% |
17317
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
24310
4.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2420
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
23830
386.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
33468
542.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11005
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
176774
206.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
328779
385.3 IPS |
|
|
Object Detection (SP)
|
100% |
2674
212.1 IPS |
|
|
Object Detection (HP)
|
100% |
17924
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
26822
2.14 KIPS |
|
|
Face Detection (SP)
|
100% |
4778
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
46791
556.0 IPS |
|
|
Face Detection (Q)
|
100% |
66054
784.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9121
70.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
110868
854.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
178032
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
27563
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
269817
346.9 IPS |
|
|
Style Transfer (Q)
|
96% |
373971
482.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6005
221.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63495
2.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
98700
3.64 KIPS |
|
|
Text Classification (SP)
|
100% |
3051
4.07 KIPS |
|
|
Text Classification (HP)
|
100% |
6379
8.51 KIPS |
|
|
Text Classification (Q)
|
93% |
6606
8.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
5018
86.4 IPS |
|
|
Machine Translation (HP)
|
100% |
17594
303.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18951
327.5 IPS |
