MacBook Pro (14-inch, 2024)
Geekbench AI Score
9349
Single Precision Score
11230
Half Precision Score
10193
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 16 2025 04:36 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C103) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,1 |
| Motherboard | Mac16,1 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4893
910.0 IPS |
|
|
Image Classification (HP)
|
100% |
5181
963.5 IPS |
|
|
Image Classification (Q)
|
97% |
4498
839.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4926
79.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7070
114.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7703
124.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
30001
35.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
32261
37.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
30728
36.0 IPS |
|
|
Object Detection (SP)
|
100% |
5075
402.6 IPS |
|
|
Object Detection (HP)
|
100% |
5529
438.5 IPS |
|
|
Object Detection (Q)
|
91% |
4736
378.4 IPS |
|
|
Face Detection (SP)
|
100% |
13169
156.5 IPS |
|
|
Face Detection (HP)
|
100% |
16549
196.6 IPS |
|
|
Face Detection (Q)
|
100% |
12552
149.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
21579
166.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
23930
184.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
20684
161.7 IPS |
|
|
Style Transfer (SP)
|
100% |
60440
77.7 IPS |
|
|
Style Transfer (HP)
|
100% |
72707
93.5 IPS |
|
|
Style Transfer (Q)
|
96% |
68170
88.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12620
466.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13740
507.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11039
407.6 IPS |
|
|
Text Classification (SP)
|
100% |
3072
4.10 KIPS |
|
|
Text Classification (HP)
|
100% |
5531
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5506
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
2088
36.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2232
38.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2234
38.6 IPS |
