MacBook Pro (16-inch, 2024)
Geekbench AI Score
5641
Single Precision Score
37524
Half Precision Score
50669
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | davidsamson |
| Upload Date | November 03 2025 12:43 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| 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% |
2124
395.1 IPS |
|
|
Image Classification (HP)
|
100% |
17697
3.29 KIPS |
|
|
Image Classification (Q)
|
97% |
22431
4.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2398
38.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22832
370.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
32564
527.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18420
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
122599
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
229067
268.5 IPS |
|
|
Object Detection (SP)
|
100% |
2618
207.6 IPS |
|
|
Object Detection (HP)
|
100% |
19584
1.55 KIPS |
|
|
Object Detection (Q)
|
91% |
24489
1.96 KIPS |
|
|
Face Detection (SP)
|
100% |
4947
58.8 IPS |
|
|
Face Detection (HP)
|
100% |
46092
547.7 IPS |
|
|
Face Detection (Q)
|
100% |
62415
741.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8854
68.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
111927
862.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
177762
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
26266
33.8 IPS |
|
|
Style Transfer (HP)
|
100% |
231817
298.0 IPS |
|
|
Style Transfer (Q)
|
96% |
299549
386.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6078
224.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46340
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80597
2.98 KIPS |
|
|
Text Classification (SP)
|
100% |
3017
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
6258
8.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5971
8.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
6306
108.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16451
283.4 IPS |
|
|
Machine Translation (Q)
|
98% |
17020
294.1 IPS |
