MacBook Pro (14-inch, 2024)
Geekbench AI Score
24057
Single Precision Score
26756
Half Precision Score
24936
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | felixskw |
| Upload Date | March 04 2026 10:51 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9909
1.84 KIPS |
|
|
Image Classification (HP)
|
100% |
10202
1.90 KIPS |
|
|
Image Classification (Q)
|
96% |
9679
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23570
382.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
24450
396.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23019
373.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
101671
118.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
111361
129.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
106221
124.4 IPS |
|
|
Object Detection (SP)
|
100% |
9018
715.3 IPS |
|
|
Object Detection (HP)
|
100% |
9814
778.5 IPS |
|
|
Object Detection (Q)
|
91% |
8812
704.2 IPS |
|
|
Face Detection (SP)
|
100% |
41329
491.1 IPS |
|
|
Face Detection (HP)
|
100% |
45682
542.8 IPS |
|
|
Face Detection (Q)
|
100% |
40956
486.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
44356
341.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
46986
362.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
44390
347.3 IPS |
|
|
Style Transfer (SP)
|
100% |
217948
280.2 IPS |
|
|
Style Transfer (HP)
|
100% |
232723
299.2 IPS |
|
|
Style Transfer (Q)
|
96% |
225373
290.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30277
1.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
30358
1.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26168
966.3 IPS |
|
|
Text Classification (SP)
|
100% |
3243
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5603
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5611
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
7731
133.2 IPS |
|
|
Machine Translation (HP)
|
100% |
8118
139.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7409
128.0 IPS |
