MacBook Pro (14-inch, 2024)
Geekbench AI Score
23320
Single Precision Score
25752
Half Precision Score
24300
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | RichardGroves |
| Upload Date | July 08 2025 03:55 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
10345
1.92 KIPS |
|
|
Image Classification (HP)
|
100% |
10065
1.87 KIPS |
|
|
Image Classification (Q)
|
96% |
9891
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23245
376.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23829
386.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23012
373.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
105685
123.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
108211
126.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
104658
122.6 IPS |
|
|
Object Detection (SP)
|
100% |
8602
682.3 IPS |
|
|
Object Detection (HP)
|
100% |
9928
787.5 IPS |
|
|
Object Detection (Q)
|
92% |
9305
742.7 IPS |
|
|
Face Detection (SP)
|
100% |
39460
468.9 IPS |
|
|
Face Detection (HP)
|
100% |
42614
506.3 IPS |
|
|
Face Detection (Q)
|
100% |
36320
431.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
44479
342.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
46666
359.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
42797
334.3 IPS |
|
|
Style Transfer (SP)
|
100% |
220248
283.1 IPS |
|
|
Style Transfer (HP)
|
100% |
234175
301.0 IPS |
|
|
Style Transfer (Q)
|
96% |
224570
289.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30699
1.13 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
30546
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26393
974.6 IPS |
|
|
Text Classification (SP)
|
100% |
2928
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5363
7.16 KIPS |
|
|
Text Classification (Q)
|
93% |
5401
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
6262
107.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6526
112.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6511
112.5 IPS |
