MacBook Pro (14-inch, 2021)
Geekbench AI Score
3704
Single Precision Score
16742
Half Precision Score
16572
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | felixskw |
| Upload Date | November 11 2025 05:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.7.2 (Build 24G325) |
| 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% |
1349
250.9 IPS |
|
|
Image Classification (HP)
|
100% |
7148
1.33 KIPS |
|
|
Image Classification (Q)
|
96% |
6772
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1578
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9804
158.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10450
169.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10996
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
70812
82.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
67344
78.9 IPS |
|
|
Object Detection (SP)
|
100% |
1567
124.3 IPS |
|
|
Object Detection (HP)
|
99% |
8170
649.9 IPS |
|
|
Object Detection (Q)
|
91% |
7609
608.0 IPS |
|
|
Face Detection (SP)
|
100% |
3230
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
16403
194.9 IPS |
|
|
Face Detection (Q)
|
100% |
15259
181.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5729
44.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
52752
406.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
53969
421.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21912
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
121720
156.5 IPS |
|
|
Style Transfer (Q)
|
96% |
116871
150.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4417
163.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26494
978.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28568
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2309
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4050
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4025
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3212
55.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3778
65.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3895
67.3 IPS |
