MacBook Pro (16-inch, 2024)
Geekbench AI Score
6004
Single Precision Score
9525
Half Precision Score
7295
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | xgrommx |
| Upload Date | October 16 2025 12:40 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2195
408.1 IPS |
|
|
Image Classification (HP)
|
100% |
3033
564.1 IPS |
|
|
Image Classification (Q)
|
96% |
2164
404.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2427
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3511
56.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3991
64.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18336
21.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
34607
40.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
27177
31.9 IPS |
|
|
Object Detection (SP)
|
100% |
2700
214.1 IPS |
|
|
Object Detection (HP)
|
97% |
3965
315.7 IPS |
|
|
Object Detection (Q)
|
94% |
2807
223.7 IPS |
|
|
Face Detection (SP)
|
100% |
5321
63.2 IPS |
|
|
Face Detection (HP)
|
100% |
8828
104.9 IPS |
|
|
Face Detection (Q)
|
100% |
4896
58.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9020
69.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
15344
118.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9844
76.8 IPS |
|
|
Style Transfer (SP)
|
100% |
31608
40.6 IPS |
|
|
Style Transfer (HP)
|
100% |
58072
74.7 IPS |
|
|
Style Transfer (Q)
|
96% |
44040
56.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7082
261.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9366
345.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5464
201.8 IPS |
|
|
Text Classification (SP)
|
100% |
3248
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5785
7.72 KIPS |
|
|
Text Classification (Q)
|
93% |
5637
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
6620
114.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9873
170.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9917
171.4 IPS |
