MacBook Pro (14-inch, 2021)
Geekbench AI Score
11020
Single Precision Score
11939
Half Precision Score
11116
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | shakal00 |
| Upload Date | November 17 2025 02:12 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4691
872.3 IPS |
|
|
Image Classification (HP)
|
100% |
4730
879.7 IPS |
|
|
Image Classification (Q)
|
96% |
4284
800.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
10155
164.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
10044
162.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
9620
155.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
47390
55.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
51039
59.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
49077
57.5 IPS |
|
|
Object Detection (SP)
|
100% |
4634
367.6 IPS |
|
|
Object Detection (HP)
|
100% |
5006
397.1 IPS |
|
|
Object Detection (Q)
|
92% |
4587
366.2 IPS |
|
|
Face Detection (SP)
|
100% |
19020
226.0 IPS |
|
|
Face Detection (HP)
|
100% |
19132
227.3 IPS |
|
|
Face Detection (Q)
|
100% |
16666
198.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
23750
183.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
24882
191.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
22731
177.6 IPS |
|
|
Style Transfer (SP)
|
100% |
80004
102.8 IPS |
|
|
Style Transfer (HP)
|
100% |
96806
124.4 IPS |
|
|
Style Transfer (Q)
|
96% |
94340
121.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15836
584.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16559
611.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14500
535.4 IPS |
|
|
Text Classification (SP)
|
100% |
2449
3.27 KIPS |
|
|
Text Classification (HP)
|
99% |
4143
5.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4107
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1802
31.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1534
26.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1460
25.2 IPS |
