MacBook Pro (14-inch, 2024)
Geekbench AI Score
23140
Single Precision Score
25994
Half Precision Score
24154
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | April 08 2025 09:40 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E247) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10466
1.95 KIPS |
|
|
Image Classification (HP)
|
100% |
10535
1.96 KIPS |
|
|
Image Classification (Q)
|
96% |
9255
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23277
377.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
23784
385.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
22869
370.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
106235
124.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
109108
127.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
105412
123.5 IPS |
|
|
Object Detection (SP)
|
100% |
8605
682.6 IPS |
|
|
Object Detection (HP)
|
100% |
9961
790.1 IPS |
|
|
Object Detection (Q)
|
92% |
9291
741.6 IPS |
|
|
Face Detection (SP)
|
100% |
37217
442.2 IPS |
|
|
Face Detection (HP)
|
100% |
41051
487.8 IPS |
|
|
Face Detection (Q)
|
100% |
35253
418.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
44603
343.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
47065
362.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
44187
345.5 IPS |
|
|
Style Transfer (SP)
|
100% |
219626
282.3 IPS |
|
|
Style Transfer (HP)
|
100% |
238759
306.9 IPS |
|
|
Style Transfer (Q)
|
96% |
224731
290.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29576
1.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
32317
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27126
1.00 KIPS |
|
|
Text Classification (SP)
|
100% |
2921
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5332
7.12 KIPS |
|
|
Text Classification (Q)
|
93% |
5282
7.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
6276
108.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6507
112.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6503
112.4 IPS |
