Mac17,2
Geekbench AI Score
12646
Single Precision Score
23710
Half Precision Score
22542
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 05 2025 03:44 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 4.27 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5766
1.07 KIPS |
|
|
Image Classification (HP)
|
100% |
10040
1.87 KIPS |
|
|
Image Classification (Q)
|
97% |
8449
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9287
150.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
15753
255.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
16146
261.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
36539
42.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
92904
108.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
102616
120.3 IPS |
|
|
Object Detection (SP)
|
100% |
5845
463.6 IPS |
|
|
Object Detection (HP)
|
100% |
10490
832.0 IPS |
|
|
Object Detection (Q)
|
93% |
9135
728.7 IPS |
|
|
Face Detection (SP)
|
100% |
16401
194.9 IPS |
|
|
Face Detection (HP)
|
100% |
30702
364.8 IPS |
|
|
Face Detection (Q)
|
100% |
23814
283.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
26367
203.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
50362
388.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
48299
377.1 IPS |
|
|
Style Transfer (SP)
|
100% |
75395
96.9 IPS |
|
|
Style Transfer (HP)
|
100% |
174918
224.9 IPS |
|
|
Style Transfer (Q)
|
96% |
197740
255.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16103
594.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31529
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27258
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
3043
4.06 KIPS |
|
|
Text Classification (HP)
|
99% |
5824
7.77 KIPS |
|
|
Text Classification (Q)
|
93% |
5802
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
5725
98.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7336
126.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7368
127.3 IPS |
