MacBook Pro (14-inch, 2021)
Geekbench AI Score
3258
Single Precision Score
14940
Half Precision Score
14750
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | dangeredwolf |
| Upload Date | April 12 2025 12:32 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5042g) |
| 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 | 2.92 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1253
233.1 IPS |
|
|
Image Classification (HP)
|
100% |
6128
1.14 KIPS |
|
|
Image Classification (Q)
|
96% |
5962
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1391
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9046
146.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9261
150.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8987
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
70899
82.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
66952
78.5 IPS |
|
|
Object Detection (SP)
|
100% |
1448
114.8 IPS |
|
|
Object Detection (HP)
|
99% |
7101
564.8 IPS |
|
|
Object Detection (Q)
|
91% |
6755
539.8 IPS |
|
|
Face Detection (SP)
|
100% |
2958
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
14287
169.8 IPS |
|
|
Face Detection (Q)
|
100% |
13566
161.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5190
40.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
49150
378.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
50486
394.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19501
25.1 IPS |
|
|
Style Transfer (HP)
|
100% |
118085
151.8 IPS |
|
|
Style Transfer (Q)
|
96% |
113527
146.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3842
141.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24775
914.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26137
965.1 IPS |
|
|
Text Classification (SP)
|
100% |
1960
2.62 KIPS |
|
|
Text Classification (HP)
|
100% |
3416
4.56 KIPS |
|
|
Text Classification (Q)
|
93% |
3433
4.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2637
45.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2830
48.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2799
48.4 IPS |
