MacBook Pro (14-inch, 2021)
Geekbench AI Score
3558
Single Precision Score
5893
Half Precision Score
4738
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | kaiiy |
| Upload Date | October 25 2025 10:31 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,4 |
| Motherboard | MacBookPro18,4 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1323
246.1 IPS |
|
|
Image Classification (HP)
|
100% |
2037
378.8 IPS |
|
|
Image Classification (Q)
|
96% |
1493
278.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1492
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2180
35.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2533
41.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10283
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
22930
26.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
17628
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
1451
115.1 IPS |
|
|
Object Detection (HP)
|
97% |
2288
182.2 IPS |
|
|
Object Detection (Q)
|
94% |
1681
134.0 IPS |
|
|
Face Detection (SP)
|
100% |
3261
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
5283
62.8 IPS |
|
|
Face Detection (Q)
|
100% |
3120
37.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5534
42.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10170
78.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7134
55.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21774
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35077
45.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27899
36.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4023
148.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5569
205.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4033
148.9 IPS |
|
|
Text Classification (SP)
|
100% |
2332
3.11 KIPS |
|
|
Text Classification (HP)
|
99% |
4120
5.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4042
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
2996
51.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5019
86.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5028
86.9 IPS |
