MacBook Pro (14-inch, 2024)
Geekbench AI Score
5895
Single Precision Score
38341
Half Precision Score
51268
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | FamosGorilla |
| Upload Date | January 07 2025 12:24 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
2131
396.2 IPS |
|
|
Image Classification (HP)
|
100% |
18758
3.49 KIPS |
|
|
Image Classification (Q)
|
97% |
23145
4.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2508
40.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
23172
375.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
32508
527.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
19206
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
123338
143.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
231554
271.4 IPS |
|
|
Object Detection (SP)
|
100% |
2564
203.3 IPS |
|
|
Object Detection (HP)
|
100% |
21232
1.68 KIPS |
|
|
Object Detection (Q)
|
91% |
26179
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
4561
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
44125
524.3 IPS |
|
|
Face Detection (Q)
|
100% |
63554
755.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8770
67.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
110629
852.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
176668
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
36495
46.9 IPS |
|
|
Style Transfer (HP)
|
100% |
232501
298.9 IPS |
|
|
Style Transfer (Q)
|
96% |
295764
381.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7314
270.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46546
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83022
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2985
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
6726
8.98 KIPS |
|
|
Text Classification (Q)
|
93% |
5966
8.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
6050
104.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16976
292.4 IPS |
|
|
Machine Translation (Q)
|
98% |
16723
289.0 IPS |
