MacBook Pro (14-inch, 2021)
Geekbench AI Score
3688
Single Precision Score
14959
Half Precision Score
14838
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | daromeer |
| Upload Date | April 01 2026 04:14 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 3.14 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1322
245.8 IPS |
|
|
Image Classification (HP)
|
100% |
6533
1.22 KIPS |
|
|
Image Classification (Q)
|
96% |
5928
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1588
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8833
143.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9589
155.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10478
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
70147
81.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
66271
77.7 IPS |
|
|
Object Detection (SP)
|
100% |
1512
120.0 IPS |
|
|
Object Detection (HP)
|
99% |
7041
560.1 IPS |
|
|
Object Detection (Q)
|
91% |
6501
519.4 IPS |
|
|
Face Detection (SP)
|
100% |
3454
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
13302
158.1 IPS |
|
|
Face Detection (Q)
|
100% |
13058
155.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5679
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
46805
360.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
48213
376.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22116
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
118780
152.7 IPS |
|
|
Style Transfer (Q)
|
96% |
112697
145.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4283
158.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24169
892.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25097
926.7 IPS |
|
|
Text Classification (SP)
|
100% |
2361
3.15 KIPS |
|
|
Text Classification (HP)
|
99% |
4213
5.62 KIPS |
|
|
Text Classification (Q)
|
93% |
4231
5.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3195
55.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2615
45.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2805
48.5 IPS |
