MacBook Pro (14-inch, 2021)
Geekbench AI Score
10677
Single Precision Score
11930
Half Precision Score
10983
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | wmy |
| Upload Date | September 09 2025 08:37 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4594
854.4 IPS |
|
|
Image Classification (HP)
|
100% |
4733
880.1 IPS |
|
|
Image Classification (Q)
|
96% |
4263
796.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
10249
166.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
10068
163.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9560
155.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
47199
55.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
50841
59.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
48937
57.3 IPS |
|
|
Object Detection (SP)
|
100% |
4607
365.5 IPS |
|
|
Object Detection (HP)
|
100% |
4997
396.4 IPS |
|
|
Object Detection (Q)
|
92% |
4727
377.3 IPS |
|
|
Face Detection (SP)
|
100% |
17364
206.3 IPS |
|
|
Face Detection (HP)
|
100% |
18716
222.4 IPS |
|
|
Face Detection (Q)
|
100% |
16279
193.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
24092
185.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
25254
194.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
23078
180.3 IPS |
|
|
Style Transfer (SP)
|
100% |
79905
102.7 IPS |
|
|
Style Transfer (HP)
|
100% |
96682
124.3 IPS |
|
|
Style Transfer (Q)
|
96% |
94657
122.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15855
585.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17182
634.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14880
549.4 IPS |
|
|
Text Classification (SP)
|
100% |
2308
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4027
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
3945
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1538
26.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1526
26.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1298
22.4 IPS |
