MacBook Pro (14-inch, 2021)
Geekbench AI Score
3697
Single Precision Score
16558
Half Precision Score
16414
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | July 01 2025 06:27 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
1345
250.2 IPS |
|
|
Image Classification (HP)
|
100% |
6935
1.29 KIPS |
|
|
Image Classification (Q)
|
96% |
6598
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1543
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9736
157.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10443
169.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11056
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
70718
82.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
67385
79.0 IPS |
|
|
Object Detection (SP)
|
100% |
1562
123.9 IPS |
|
|
Object Detection (HP)
|
99% |
8007
636.9 IPS |
|
|
Object Detection (Q)
|
91% |
7479
597.6 IPS |
|
|
Face Detection (SP)
|
100% |
3297
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
16261
193.2 IPS |
|
|
Face Detection (Q)
|
100% |
15101
179.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5813
44.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
51810
399.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
53731
419.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21941
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
121823
156.6 IPS |
|
|
Style Transfer (Q)
|
96% |
116577
150.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4316
159.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25931
957.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27905
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2293
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4099
5.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4020
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3201
55.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3716
64.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3853
66.6 IPS |
