MacBook Pro (14-inch, 2024)
Geekbench AI Score
23505
Single Precision Score
26182
Half Precision Score
24318
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | squats-pelican-0r |
| Upload Date | January 12 2026 01:16 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,6 |
| Motherboard | Mac16,6 |
| 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% |
10275
1.91 KIPS |
|
|
Image Classification (HP)
|
100% |
10837
2.02 KIPS |
|
|
Image Classification (Q)
|
96% |
9313
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23436
379.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
23959
388.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
22997
372.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
101571
118.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
110858
129.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
106140
124.3 IPS |
|
|
Object Detection (SP)
|
100% |
9137
724.8 IPS |
|
|
Object Detection (HP)
|
100% |
9826
779.4 IPS |
|
|
Object Detection (Q)
|
92% |
9213
735.4 IPS |
|
|
Face Detection (SP)
|
100% |
38969
463.0 IPS |
|
|
Face Detection (HP)
|
100% |
43040
511.4 IPS |
|
|
Face Detection (Q)
|
100% |
34939
415.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
43966
338.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
46581
358.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
42759
334.0 IPS |
|
|
Style Transfer (SP)
|
100% |
217752
279.9 IPS |
|
|
Style Transfer (HP)
|
100% |
234503
301.5 IPS |
|
|
Style Transfer (Q)
|
96% |
227255
293.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29304
1.08 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
30238
1.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27085
1.00 KIPS |
|
|
Text Classification (SP)
|
100% |
3265
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5647
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5618
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
6455
111.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6667
114.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6686
115.5 IPS |
