Mac16,9
Geekbench AI Score
20419
Single Precision Score
22794
Half Precision Score
21391
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | edwardhchan |
| Upload Date | December 03 2025 02:30 AM |
| 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% |
5896
1.10 KIPS |
|
|
Image Classification (HP)
|
100% |
6283
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5428
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22395
363.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22901
371.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
21696
351.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
101719
118.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
107323
125.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
102980
120.6 IPS |
|
|
Object Detection (SP)
|
100% |
7479
593.3 IPS |
|
|
Object Detection (HP)
|
100% |
8361
663.2 IPS |
|
|
Object Detection (Q)
|
92% |
7662
611.6 IPS |
|
|
Face Detection (SP)
|
100% |
37933
450.7 IPS |
|
|
Face Detection (HP)
|
100% |
40950
486.6 IPS |
|
|
Face Detection (Q)
|
100% |
32780
389.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
42069
324.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
43782
337.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
41231
322.1 IPS |
|
|
Style Transfer (SP)
|
100% |
199566
256.5 IPS |
|
|
Style Transfer (HP)
|
100% |
224607
288.7 IPS |
|
|
Style Transfer (Q)
|
96% |
219537
283.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26120
964.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26434
976.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26063
962.4 IPS |
|
|
Text Classification (SP)
|
100% |
3240
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5652
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5686
7.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
4655
80.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4875
84.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4911
84.9 IPS |
