MacBook Pro (16-inch, 2024)
Geekbench AI Score
6010
Single Precision Score
37460
Half Precision Score
50785
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Bearco |
| Upload Date | October 17 2025 08:22 PM |
| Views | 1 |
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, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2189
407.1 IPS |
|
|
Image Classification (HP)
|
100% |
17629
3.28 KIPS |
|
|
Image Classification (Q)
|
97% |
22181
4.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2469
40.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
23559
381.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
32880
533.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
18405
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
123548
144.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
232067
272.0 IPS |
|
|
Object Detection (SP)
|
100% |
2657
210.8 IPS |
|
|
Object Detection (HP)
|
100% |
20706
1.64 KIPS |
|
|
Object Detection (Q)
|
91% |
25606
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
5273
62.6 IPS |
|
|
Face Detection (HP)
|
100% |
44546
529.3 IPS |
|
|
Face Detection (Q)
|
100% |
65030
772.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9017
69.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
111104
856.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
179128
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
31481
40.5 IPS |
|
|
Style Transfer (HP)
|
100% |
233805
300.6 IPS |
|
|
Style Transfer (Q)
|
96% |
321967
415.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7229
266.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48182
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76708
2.83 KIPS |
|
|
Text Classification (SP)
|
100% |
3237
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5718
7.63 KIPS |
|
|
Text Classification (Q)
|
93% |
5683
7.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
6642
114.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16064
276.7 IPS |
|
|
Machine Translation (Q)
|
98% |
16106
278.3 IPS |
