MacBook Pro (14-inch, 2024)
Geekbench AI Score
5724
Single Precision Score
37547
Half Precision Score
50245
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 23 2025 01:56 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2133
396.8 IPS |
|
|
Image Classification (HP)
|
100% |
17792
3.31 KIPS |
|
|
Image Classification (Q)
|
97% |
21397
3.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2369
38.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
23614
382.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
33275
539.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16839
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
121957
142.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
230668
270.4 IPS |
|
|
Object Detection (SP)
|
100% |
2518
199.7 IPS |
|
|
Object Detection (HP)
|
100% |
20586
1.63 KIPS |
|
|
Object Detection (Q)
|
91% |
24655
1.97 KIPS |
|
|
Face Detection (SP)
|
100% |
4910
58.3 IPS |
|
|
Face Detection (HP)
|
100% |
44629
530.3 IPS |
|
|
Face Detection (Q)
|
100% |
62637
744.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8777
67.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
111967
862.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
176603
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
30389
39.1 IPS |
|
|
Style Transfer (HP)
|
100% |
237398
305.2 IPS |
|
|
Style Transfer (Q)
|
96% |
324829
419.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7127
263.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49427
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77167
2.85 KIPS |
|
|
Text Classification (SP)
|
100% |
3182
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
5565
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5624
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
5940
102.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16181
278.7 IPS |
|
|
Machine Translation (Q)
|
98% |
16241
280.7 IPS |
