MacBook Pro (14-inch, 2021)
Geekbench AI Score
3640
Single Precision Score
14871
Half Precision Score
14730
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | notathome |
| Upload Date | November 03 2025 08:12 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1323
246.0 IPS |
|
|
Image Classification (HP)
|
100% |
6177
1.15 KIPS |
|
|
Image Classification (Q)
|
96% |
6100
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1536
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8975
145.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9556
154.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10442
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
67392
78.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
62984
73.8 IPS |
|
|
Object Detection (SP)
|
100% |
1515
120.2 IPS |
|
|
Object Detection (HP)
|
99% |
7015
558.0 IPS |
|
|
Object Detection (Q)
|
91% |
6627
529.5 IPS |
|
|
Face Detection (SP)
|
100% |
3368
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
13531
160.8 IPS |
|
|
Face Detection (Q)
|
100% |
12698
150.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5715
44.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
45660
351.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
48324
377.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22093
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
115991
149.1 IPS |
|
|
Style Transfer (Q)
|
96% |
109856
141.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4110
151.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24716
912.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26308
971.4 IPS |
|
|
Text Classification (SP)
|
100% |
2349
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
4230
5.65 KIPS |
|
|
Text Classification (Q)
|
93% |
4112
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3096
53.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2695
46.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2711
46.9 IPS |
