MacBook Pro (14-inch, 2024)
Geekbench AI Score
4958
Single Precision Score
36312
Half Precision Score
51051
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 16 2025 07:07 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2126
395.4 IPS |
|
|
Image Classification (HP)
|
100% |
17112
3.18 KIPS |
|
|
Image Classification (Q)
|
97% |
23692
4.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2215
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22204
359.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
30662
497.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10078
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
122877
143.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
232309
272.3 IPS |
|
|
Object Detection (SP)
|
100% |
2449
194.2 IPS |
|
|
Object Detection (HP)
|
100% |
18047
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
26036
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
4194
49.8 IPS |
|
|
Face Detection (HP)
|
100% |
42892
509.6 IPS |
|
|
Face Detection (Q)
|
100% |
61323
728.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8451
65.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
99295
765.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
165066
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
24451
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
232613
299.0 IPS |
|
|
Style Transfer (Q)
|
96% |
319200
411.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6096
225.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51526
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83354
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3225
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5662
7.56 KIPS |
|
|
Text Classification (Q)
|
93% |
5634
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
4537
78.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16367
281.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18037
311.7 IPS |
