MacBook Pro (14-inch, 2021)
Geekbench AI Score
3692
Single Precision Score
16517
Half Precision Score
16455
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | September 16 2025 11:23 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.7 (Build 24G222) |
| 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% |
1342
249.5 IPS |
|
|
Image Classification (HP)
|
100% |
6935
1.29 KIPS |
|
|
Image Classification (Q)
|
96% |
6634
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1529
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9694
157.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10446
169.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11076
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
70810
82.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
66050
77.4 IPS |
|
|
Object Detection (SP)
|
100% |
1560
123.8 IPS |
|
|
Object Detection (HP)
|
99% |
8017
637.8 IPS |
|
|
Object Detection (Q)
|
91% |
7497
599.1 IPS |
|
|
Face Detection (SP)
|
100% |
3233
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
16140
191.8 IPS |
|
|
Face Detection (Q)
|
100% |
15417
183.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5833
44.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
51948
400.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
53434
417.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22003
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
120550
155.0 IPS |
|
|
Style Transfer (Q)
|
96% |
116700
150.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4341
160.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26170
966.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28272
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2303
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4024
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4022
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3202
55.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3722
64.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3880
67.0 IPS |
