MacBook Pro (14-inch, 2021)
Geekbench AI Score
11485
Single Precision Score
13096
Half Precision Score
12199
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | kaiiy |
| Upload Date | October 25 2025 10:33 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4710
875.9 IPS |
|
|
Image Classification (HP)
|
100% |
4328
805.0 IPS |
|
|
Image Classification (Q)
|
96% |
4598
858.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
11620
188.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12008
194.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
11402
184.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
56101
65.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
59964
70.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
58583
68.6 IPS |
|
|
Object Detection (SP)
|
100% |
4735
375.6 IPS |
|
|
Object Detection (HP)
|
100% |
5290
419.6 IPS |
|
|
Object Detection (Q)
|
92% |
5022
400.8 IPS |
|
|
Face Detection (SP)
|
100% |
20335
241.6 IPS |
|
|
Face Detection (HP)
|
100% |
21254
252.5 IPS |
|
|
Face Detection (Q)
|
100% |
17246
204.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
25230
194.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
27632
212.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
24820
193.9 IPS |
|
|
Style Transfer (SP)
|
100% |
93311
120.0 IPS |
|
|
Style Transfer (HP)
|
100% |
117275
150.8 IPS |
|
|
Style Transfer (Q)
|
96% |
113067
145.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16657
615.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17157
633.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15093
557.3 IPS |
|
|
Text Classification (SP)
|
100% |
2187
2.92 KIPS |
|
|
Text Classification (HP)
|
99% |
4158
5.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4130
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1575
27.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1833
31.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1569
27.1 IPS |
