MacBook Pro (14-inch, 2021)
Geekbench AI Score
11705
Single Precision Score
13057
Half Precision Score
12324
Quantized Score
Geekbench AI 1.6.0 Corporate for macOS AArch64
Result Information
| Upload Date | December 02 2025 08:10 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4973
924.7 IPS |
|
|
Image Classification (HP)
|
100% |
5034
936.1 IPS |
|
|
Image Classification (Q)
|
96% |
4707
879.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
11669
189.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
11938
193.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
11394
184.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
56795
66.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
62187
72.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
58945
69.0 IPS |
|
|
Object Detection (SP)
|
100% |
5142
407.8 IPS |
|
|
Object Detection (HP)
|
100% |
5241
415.7 IPS |
|
|
Object Detection (Q)
|
92% |
5132
409.7 IPS |
|
|
Face Detection (SP)
|
100% |
20872
248.0 IPS |
|
|
Face Detection (HP)
|
100% |
21948
260.8 IPS |
|
|
Face Detection (Q)
|
100% |
18892
224.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
26281
202.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
27668
213.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
25343
198.0 IPS |
|
|
Style Transfer (SP)
|
100% |
96521
124.1 IPS |
|
|
Style Transfer (HP)
|
100% |
121154
155.7 IPS |
|
|
Style Transfer (Q)
|
96% |
118409
152.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16746
618.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17587
649.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15733
580.9 IPS |
|
|
Text Classification (SP)
|
100% |
2284
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4010
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3985
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1407
24.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1418
24.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1402
24.2 IPS |
