MacBook Pro (16-inch, 2024)
Geekbench AI Score
5518
Single Precision Score
37567
Half Precision Score
50676
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 14 2025 05:13 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,7 |
| Motherboard | Mac16,7 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2082
387.2 IPS |
|
|
Image Classification (HP)
|
100% |
18474
3.44 KIPS |
|
|
Image Classification (Q)
|
97% |
22527
4.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2308
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
23424
379.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
32964
534.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16072
18.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
121586
141.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
227653
266.8 IPS |
|
|
Object Detection (SP)
|
100% |
2474
196.2 IPS |
|
|
Object Detection (HP)
|
100% |
20674
1.64 KIPS |
|
|
Object Detection (Q)
|
91% |
23563
1.88 KIPS |
|
|
Face Detection (SP)
|
100% |
4573
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
44006
522.9 IPS |
|
|
Face Detection (Q)
|
100% |
63383
753.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8615
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
110254
849.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
180512
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
28945
37.2 IPS |
|
|
Style Transfer (HP)
|
100% |
232210
298.5 IPS |
|
|
Style Transfer (Q)
|
96% |
323431
417.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6922
255.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49421
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80031
2.96 KIPS |
|
|
Text Classification (SP)
|
100% |
3273
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
5607
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5680
7.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
5303
91.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16488
284.0 IPS |
|
|
Machine Translation (Q)
|
98% |
16670
288.1 IPS |
