MacBook Pro (14-inch, 2024)
Geekbench AI Score
21680
Single Precision Score
22862
Half Precision Score
21538
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | M4ssive |
| Upload Date | March 29 2025 07:30 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
9941
1.85 KIPS |
|
|
Image Classification (HP)
|
100% |
10558
1.96 KIPS |
|
|
Image Classification (Q)
|
97% |
8937
1.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19221
311.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
20107
325.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
21004
340.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
106828
124.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
109748
128.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
103207
121.0 IPS |
|
|
Object Detection (SP)
|
100% |
8976
712.0 IPS |
|
|
Object Detection (HP)
|
100% |
10024
795.1 IPS |
|
|
Object Detection (Q)
|
91% |
8630
689.6 IPS |
|
|
Face Detection (SP)
|
100% |
38516
457.7 IPS |
|
|
Face Detection (HP)
|
100% |
42587
506.0 IPS |
|
|
Face Detection (Q)
|
100% |
31324
372.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
44451
342.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
47024
362.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
39447
308.3 IPS |
|
|
Style Transfer (SP)
|
100% |
224414
288.5 IPS |
|
|
Style Transfer (HP)
|
100% |
238157
306.2 IPS |
|
|
Style Transfer (Q)
|
96% |
220462
284.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30404
1.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
32225
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25432
939.1 IPS |
|
|
Text Classification (SP)
|
100% |
3023
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
5404
7.21 KIPS |
|
|
Text Classification (Q)
|
93% |
5313
7.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3547
61.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2011
34.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3491
60.3 IPS |
