MacBook Pro (16-inch, 2024)
Geekbench AI Score
5831
Single Precision Score
37244
Half Precision Score
50564
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 06 2025 08:41 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2149
399.6 IPS |
|
|
Image Classification (HP)
|
100% |
17566
3.27 KIPS |
|
|
Image Classification (Q)
|
97% |
21760
4.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2415
39.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23060
373.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
32483
526.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
17645
20.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
120211
140.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
229666
269.2 IPS |
|
|
Object Detection (SP)
|
100% |
2488
197.4 IPS |
|
|
Object Detection (HP)
|
100% |
20393
1.62 KIPS |
|
|
Object Detection (Q)
|
91% |
24425
1.95 KIPS |
|
|
Face Detection (SP)
|
100% |
5176
61.5 IPS |
|
|
Face Detection (HP)
|
100% |
44366
527.2 IPS |
|
|
Face Detection (Q)
|
100% |
63740
757.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8919
68.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
109793
845.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
180531
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
30644
39.4 IPS |
|
|
Style Transfer (HP)
|
100% |
231168
297.2 IPS |
|
|
Style Transfer (Q)
|
96% |
323295
417.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7070
261.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48698
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79545
2.94 KIPS |
|
|
Text Classification (SP)
|
100% |
3228
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5824
7.77 KIPS |
|
|
Text Classification (Q)
|
93% |
5575
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
6185
106.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16194
279.0 IPS |
|
|
Machine Translation (Q)
|
98% |
16702
288.6 IPS |
