Mac16,9
Geekbench AI Score
23186
Single Precision Score
25804
Half Precision Score
24214
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 13 2025 12:38 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| Model | Mac16,9 |
| Model ID | Mac16,9 |
| Motherboard | Mac16,9 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10319
1.92 KIPS |
|
|
Image Classification (HP)
|
100% |
10577
1.97 KIPS |
|
|
Image Classification (Q)
|
96% |
9456
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23253
376.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
23644
383.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
22988
372.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
101596
118.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
111027
129.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
106323
124.5 IPS |
|
|
Object Detection (SP)
|
100% |
9124
723.7 IPS |
|
|
Object Detection (HP)
|
100% |
9875
783.3 IPS |
|
|
Object Detection (Q)
|
92% |
9243
737.8 IPS |
|
|
Face Detection (SP)
|
100% |
40007
475.4 IPS |
|
|
Face Detection (HP)
|
100% |
43912
521.8 IPS |
|
|
Face Detection (Q)
|
100% |
36077
428.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
44956
346.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
47587
366.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
43194
337.4 IPS |
|
|
Style Transfer (SP)
|
100% |
217888
280.1 IPS |
|
|
Style Transfer (HP)
|
100% |
235455
302.7 IPS |
|
|
Style Transfer (Q)
|
96% |
228251
294.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29388
1.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
30652
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26091
963.4 IPS |
|
|
Text Classification (SP)
|
100% |
3259
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5644
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5753
7.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
5380
92.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5609
96.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6077
105.0 IPS |
