MacBook Pro (14-inch, 2021)
Geekbench AI Score
3542
Single Precision Score
5667
Half Precision Score
4563
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | September 02 2025 08:37 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.16 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1307
243.1 IPS |
|
|
Image Classification (HP)
|
100% |
1948
362.3 IPS |
|
|
Image Classification (Q)
|
96% |
1430
267.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1495
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2216
35.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2462
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10795
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
21393
25.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
17366
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
1522
120.7 IPS |
|
|
Object Detection (HP)
|
97% |
2225
177.2 IPS |
|
|
Object Detection (Q)
|
94% |
1648
131.4 IPS |
|
|
Face Detection (SP)
|
100% |
3059
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
4922
58.5 IPS |
|
|
Face Detection (Q)
|
100% |
2962
35.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5443
41.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
9473
73.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
6842
53.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21210
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
32837
42.2 IPS |
|
|
Style Transfer (Q)
|
96% |
26348
34.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4270
157.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5847
215.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3972
146.7 IPS |
|
|
Text Classification (SP)
|
100% |
2166
2.89 KIPS |
|
|
Text Classification (HP)
|
100% |
3866
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3824
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
2968
51.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4804
83.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4796
82.9 IPS |
