MacBook Pro (14-inch, 2024)
Geekbench AI Score
12879
Single Precision Score
14172
Half Precision Score
12624
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | johnclayton |
| Upload Date | January 09 2025 11:14 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7124
1.32 KIPS |
|
|
Image Classification (HP)
|
100% |
7454
1.39 KIPS |
|
|
Image Classification (Q)
|
97% |
6306
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10797
175.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
11184
181.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
11340
183.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
46340
54.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
48345
56.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
45820
53.7 IPS |
|
|
Object Detection (SP)
|
100% |
6752
535.6 IPS |
|
|
Object Detection (HP)
|
100% |
7261
575.9 IPS |
|
|
Object Detection (Q)
|
91% |
6043
482.9 IPS |
|
|
Face Detection (SP)
|
100% |
23710
281.7 IPS |
|
|
Face Detection (HP)
|
100% |
24795
294.6 IPS |
|
|
Face Detection (Q)
|
100% |
18320
217.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
32461
250.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
33060
254.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
27788
217.2 IPS |
|
|
Style Transfer (SP)
|
100% |
104980
135.0 IPS |
|
|
Style Transfer (HP)
|
100% |
113762
146.2 IPS |
|
|
Style Transfer (Q)
|
96% |
107576
138.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17319
639.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17600
649.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14133
521.9 IPS |
|
|
Text Classification (SP)
|
100% |
2947
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5070
6.77 KIPS |
|
|
Text Classification (Q)
|
93% |
5047
6.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1266
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1343
23.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1330
23.0 IPS |
