MacBook Pro (16-inch, 2023)
Geekbench AI Score
15536
Single Precision Score
17731
Half Precision Score
16196
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | September 09 2025 01:42 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | MacBook Pro (16-inch, 2023) |
| Model ID | Mac14,6 |
| Motherboard | Mac14,6 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.68 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6791
1.26 KIPS |
|
|
Image Classification (HP)
|
100% |
6774
1.26 KIPS |
|
|
Image Classification (Q)
|
96% |
6299
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13889
225.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
13735
222.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
13060
211.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
81952
95.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
88099
102.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
85341
100.0 IPS |
|
|
Object Detection (SP)
|
100% |
6397
507.4 IPS |
|
|
Object Detection (HP)
|
100% |
6620
525.1 IPS |
|
|
Object Detection (Q)
|
92% |
6181
493.4 IPS |
|
|
Face Detection (SP)
|
100% |
27539
327.2 IPS |
|
|
Face Detection (HP)
|
100% |
29053
345.2 IPS |
|
|
Face Detection (Q)
|
100% |
24653
292.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
33358
257.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
34320
264.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
31207
243.8 IPS |
|
|
Style Transfer (SP)
|
100% |
135382
174.0 IPS |
|
|
Style Transfer (HP)
|
100% |
154210
198.2 IPS |
|
|
Style Transfer (Q)
|
96% |
150186
193.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19708
727.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23273
859.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20787
767.5 IPS |
|
|
Text Classification (SP)
|
100% |
2380
3.18 KIPS |
|
|
Text Classification (HP)
|
100% |
4189
5.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4098
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2841
48.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3776
65.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2909
50.3 IPS |
