MacBook Pro (16-inch, 2024)
Geekbench AI Score
5942
Single Precision Score
36617
Half Precision Score
50081
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 07 2025 02:39 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
2195
408.2 IPS |
|
|
Image Classification (HP)
|
100% |
16619
3.09 KIPS |
|
|
Image Classification (Q)
|
97% |
20969
3.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2413
39.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23056
373.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
31255
506.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
17973
21.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
122312
142.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
231368
271.2 IPS |
|
|
Object Detection (SP)
|
100% |
2669
211.7 IPS |
|
|
Object Detection (HP)
|
100% |
20319
1.61 KIPS |
|
|
Object Detection (Q)
|
91% |
23942
1.91 KIPS |
|
|
Face Detection (SP)
|
100% |
5259
62.5 IPS |
|
|
Face Detection (HP)
|
100% |
44180
525.0 IPS |
|
|
Face Detection (Q)
|
100% |
63062
749.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8955
69.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
103000
793.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
177667
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
30965
39.8 IPS |
|
|
Style Transfer (HP)
|
100% |
232535
298.9 IPS |
|
|
Style Transfer (Q)
|
96% |
320425
413.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7082
261.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47553
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81260
3.00 KIPS |
|
|
Text Classification (SP)
|
100% |
3234
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5597
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5549
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
6470
111.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16161
278.4 IPS |
|
|
Machine Translation (Q)
|
98% |
16888
291.8 IPS |
