MacBook Pro (14-inch, 2021)
Geekbench AI Score
11031
Single Precision Score
12005
Half Precision Score
11183
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 17 2025 03:45 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
4547
845.5 IPS |
|
|
Image Classification (HP)
|
100% |
4639
862.7 IPS |
|
|
Image Classification (Q)
|
96% |
4243
792.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
10147
164.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9986
161.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
9586
155.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
47437
55.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
49642
57.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
47748
55.9 IPS |
|
|
Object Detection (SP)
|
100% |
4700
372.8 IPS |
|
|
Object Detection (HP)
|
100% |
5015
397.8 IPS |
|
|
Object Detection (Q)
|
92% |
4586
366.0 IPS |
|
|
Face Detection (SP)
|
100% |
18501
219.8 IPS |
|
|
Face Detection (HP)
|
100% |
19265
228.9 IPS |
|
|
Face Detection (Q)
|
100% |
16534
196.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
23788
183.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
24831
191.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
22770
178.0 IPS |
|
|
Style Transfer (SP)
|
100% |
80269
103.2 IPS |
|
|
Style Transfer (HP)
|
100% |
95093
122.2 IPS |
|
|
Style Transfer (Q)
|
96% |
92694
119.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15949
588.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15987
590.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14338
529.4 IPS |
|
|
Text Classification (SP)
|
100% |
2307
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4052
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4029
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1997
34.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1831
31.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1704
29.4 IPS |
