MacBook Pro (14-inch, 2021)
Geekbench AI Score
3688
Single Precision Score
16484
Half Precision Score
16427
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | September 03 2025 11:35 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1344
250.0 IPS |
|
|
Image Classification (HP)
|
100% |
6812
1.27 KIPS |
|
|
Image Classification (Q)
|
96% |
6552
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1518
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9802
158.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10448
169.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11074
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
70942
82.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
67984
79.7 IPS |
|
|
Object Detection (SP)
|
100% |
1562
123.9 IPS |
|
|
Object Detection (HP)
|
99% |
8030
638.8 IPS |
|
|
Object Detection (Q)
|
91% |
7530
601.7 IPS |
|
|
Face Detection (SP)
|
100% |
3309
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
16295
193.6 IPS |
|
|
Face Detection (Q)
|
100% |
15143
179.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5748
44.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
51691
398.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
53691
419.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22020
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
121370
156.0 IPS |
|
|
Style Transfer (Q)
|
96% |
116428
150.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4310
159.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25881
955.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27859
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2297
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3942
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3985
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3187
54.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3735
64.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3886
67.1 IPS |
