MacBook Pro (14-inch, 2024)
Geekbench AI Score
23419
Single Precision Score
25938
Half Precision Score
24175
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | awhiteside1 |
| Upload Date | June 29 2025 10:33 PM |
| Views | 9 |
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 | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10264
1.91 KIPS |
|
|
Image Classification (HP)
|
100% |
10531
1.96 KIPS |
|
|
Image Classification (Q)
|
96% |
9609
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23416
379.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
24103
390.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23149
375.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
106326
124.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
108149
126.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
105341
123.4 IPS |
|
|
Object Detection (SP)
|
100% |
8879
704.3 IPS |
|
|
Object Detection (HP)
|
100% |
10130
803.5 IPS |
|
|
Object Detection (Q)
|
92% |
9459
755.0 IPS |
|
|
Face Detection (SP)
|
100% |
39390
468.0 IPS |
|
|
Face Detection (HP)
|
100% |
39733
472.1 IPS |
|
|
Face Detection (Q)
|
100% |
32441
385.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
44224
340.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
47367
364.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
43446
339.4 IPS |
|
|
Style Transfer (SP)
|
100% |
224738
288.9 IPS |
|
|
Style Transfer (HP)
|
100% |
235485
302.7 IPS |
|
|
Style Transfer (Q)
|
96% |
223310
288.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30292
1.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
31477
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27448
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2964
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5481
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5418
7.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
6224
107.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6483
111.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6573
113.6 IPS |
