MacBook Pro (16-inch, 2024)
Geekbench AI Score
5988
Single Precision Score
38941
Half Precision Score
53389
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | dunno |
| Upload Date | March 04 2026 05:43 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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% |
2197
408.7 IPS |
|
|
Image Classification (HP)
|
100% |
19960
3.71 KIPS |
|
|
Image Classification (Q)
|
97% |
25259
4.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2462
39.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
23481
380.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
33010
535.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
18265
21.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
123463
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
232507
272.5 IPS |
|
|
Object Detection (SP)
|
100% |
2723
216.0 IPS |
|
|
Object Detection (HP)
|
100% |
21116
1.67 KIPS |
|
|
Object Detection (Q)
|
91% |
26527
2.12 KIPS |
|
|
Face Detection (SP)
|
100% |
5343
63.5 IPS |
|
|
Face Detection (HP)
|
100% |
45634
542.2 IPS |
|
|
Face Detection (Q)
|
100% |
66329
788.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8915
68.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
114088
879.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
188030
1.47 KIPS |
|
|
Style Transfer (SP)
|
100% |
31415
40.4 IPS |
|
|
Style Transfer (HP)
|
100% |
232052
298.3 IPS |
|
|
Style Transfer (Q)
|
96% |
324991
419.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7018
259.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52021
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85074
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3264
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5666
7.56 KIPS |
|
|
Text Classification (Q)
|
93% |
5651
7.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
6434
110.8 IPS |
|
|
Machine Translation (HP)
|
100% |
18432
317.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18777
324.5 IPS |
